ECG monitoring software
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The rugged LIFEPAK 1000 defibrillator is an easy-to-use automated external defibrillator (AED) from the leader in defibrillation technology. But it’s also a defibrillatorpowerful and adaptable enough for professional responders, featuring advanced capabilities that can help improve lifesaving outcomes and speed the transition of cardiac patients to the next level of critical care.LIFEPAK ®1000 defibrillator power optionsPower Options for the LIFEPAK 1000The LIFEPAK 1000 defibrillator offers options that provide you with the flexibility to choose how you would like to manage power requirements for your device. You can choose between a rechargeable and non-rechargeable battery. With the Lithium-ion (Li-ion) rechargeable or Lithium Manganese Dioxide (Li MnO 2) non-rechargeable battery for the 1000, you will have the power you need.Which Battery is Right for You?Rechargeable battery is ideal for:• Emergency response systems with frequent use of both defibrillation and 3-lead ECG monitoring.• Emergency response systems also using the LIFEPAK 1000 for training simulation.• Batteries are rechargeable within 4.5 hours for multiple uses.Non-rechargeable battery is ideal for:• Emergency response systems with infrequent device use due to lower call volumes.•Public access users with infrequent device use.LIFEPAK 1000 rechargeable batteryLIFEPAK 1000non-rechargeable batterySpecificationsNon-rechargeable BatteriesType: Lithium Manganese Dioxide (Li/MnO2), 12.0 V, 4.5 AhCapacity: Typically will provide 440 200-joule discharges or 1030 minutes of operating time with a new battery (370 200-joule shocks or 900 minutes of operating time at 0°C (32°F)). Weight: 0.45 kg (1.0 lb)Shelf Life: (prior to installation) After the battery is stored for 5 years at 20° to 30°C, the device will provide 48 months of standby life. Standby Life: A new battery provides device power for 5 years.Low Battery Indicator: At least 30 200-joule shocks or 75 minutes of operating time remain when low battery is first indicated.Rechargeable BatteriesType: Lithium-ion, 11.1 V, 4.8 Ah, 5.3 WhCapacity: Typically will provide 261 200-jouledischarges or 608 minutes of operatingtime with a new fully-charged battery (247200-joule shocks or 576 minutes of operatingtime at 0°C (32°F)).Battery Charging Time: Within 4.5 hoursWeight: 0.45 kg (1.0 lb), maximumStandby Life: A new fully-charged batteryprovides device power for 6 months.Low Battery Indicator: At least 30 200-jouleshocks or 75 minutes of operating time remainwhen low battery is first indicated.Battery ChargerSupported Battery: Lithium-ionRechargeable Battery, 11.1 V, 4.8 Ah, 53 WhElectrical: External Power Supply: 100-240VAC, 50/60HzTemperature: Operating: 0°C to 40°CStorage: -30°C to 70°CCharge Time: Within 4.5 hoursCharge: Constant Current/Constant Voltagewithin temperature limitsLength: 270 mmWidth: 97 mmHeight: 92 mmWeight: 0.5 kgLIFEPAK1000 defibrillator power optionsLIFEPAK 1000 defibrillator power options provide:Simplicity• Simple to maintain—no conditioning or calibration required.• Battery gauge displays the state of charge on each battery at the touch of a button to help you ensure you always have the power you need in an emergency.Confidence in Our Products• The LIFEPAK 1000 AED with battery installed has an IP55 rating for protection against dusty and wet environments.• Stryker batteries are tested, verified, and certified to work with LIFEPAK devices.• Batteries offered by third party vendors are not tested, verified or certified by Stryker for use with LIFEPAK devices.LIFEPAK 1000 defibrillatorBRIEF SUMMARY OF INDICATIONS AND IMPORTANT SAFETY INFORMATIONINDICATIONS FOR USE:DEFIBRILLATION is a recognized means of terminating certain potentiallyfatal arrhythmias, such as ventricular fibrillation and symptomatic ventricular tachycardia. LIFEPAK 1000 is to be used in AED mode only on patients who are in cardiopulmonary arrest. The patient must be unresponsive, not breathing normally, and showing no signs of circulation. LIFEPAK 1000 may be used with standard defibrillation pads only on adults and children who are 8 years old or more or who weigh more than 25 kg (55 lbs). LIFEPAK 1000 may be used on children who are less than 8 years old or weigh less than 25 kg (55 lbs) with Infant/Child Reduced Energy Defibrillation Electrodes. ECG MONITORING is for use on conscious and unconscious patients of all ages for the purpose of ECG rhythm recognition and heart rate monitoring.CONTRAINDICATIONS: None.OPERATOR CONSIDERATIONS:LIFEPAK 1000 requires operator interaction to defibrillate patient. It is intended for use by personnel who are authorized by a physician or medical director and have, at a minimum, the following skills and training: CPR training, defibrillator training equivalent to that recommended by American Heart Association, and training in the use of the LIFEPAK 1000 defibrillator. LIFEPAK 1000 is intended for use in hospital and out-of-hospital environments. Manual mode is intended for use by personnel trained in ECG recognition who want to use defibrillator to deliver a shock independent of AED mode. Operator has control over charging and delivery of shocks. ECG mode provides a nondiagnostic ECG display and is intended foruse by personnel trained in ECG recognition to allow for rhythm and heart rate monitoring using standard ECG electrodes. When in ECG mode, the defibrillator’s shock capability is disabled; however, LIFEPAK 1000 continues to analyze patient’s ECG for potentially shockable rhythm.GENERAL/DEFIBRILLATION WARNINGS.SHOCK HAZARDS:• LIFEPAK 1000 delivers up to 360 joules of electrical energy. Unless properly used, this electrical energy may cause serious injury or death. Do not attempt to operate unless thoroughly familiar with operating instructions and function of all controls, indicators, connections, and accessories.• Clear everyone away from contact with patient, bed, and other conductive material before discharging defibrillator.• When discharging defibrillator, do not touch electrodes.• Do not immerse defibrillator in water or other fluids. Avoid spilling fluids on device or accessories.• Do not disassemble defibrillator or its batteries. Contact authorized service personnel for repair.Possible skin burns and ineffective energy delivery:• Dried out or damaged electrodes may cause electrical arcing and patient skin burns during defibrillation. Do not use electrodes that have been removed from foil package for >24 hours or expired electrodes. Check that electrode adhesive is intact and undamaged.Possible misinterpretation of ECG data:• Do not analyze in a moving vehicle or move the AED during analysis. Motion artifact may affect ECG signal resulting in inappropriate shock or no shock advised message. Motion detection may delay analysis. Stop vehicle.• Do not touch the patient or the AED during analysis. Excessive Energy Delivery (AED mode):• Do not use Pediatric QUIK-COMBO® electrodes; these electrodes do not attenuate the energy delivery by LIFEPAK 1000.Implanted electrical devices:• Defibrillation may interfere with implanted devices and cause them to malfunction. Place therapy electrodes away from implanted devices if possible. Possible defibrillator shutdown:• Always have access to spare, fully-charged, properly maintained battery to avoid possible device shutdown without warning.• Replace battery when LIFEPAK 1000 displays warning of REPLACE BATTERY. Possible device failure:• Do not modify LIFEPAK 1000 or its batteries.Possible explosion, fire, noxious gas or burns:• Do not use device in presence of flammable gases or anesthetics.• Use care when operating close to oxygen sources.• Turn off gas source or move source away from patient during defibrillation. Possible electrical interference or improper device performance:• Use only parts and accessories specified by Physio-Control or Stryker. Using other manufacturers’ accessories may affect performance of device or equipment in close proximity and may invalidate safety agency certification.• Defibrillator may cause electromagnetic interference (EMI) especially during charge and energy transfers which may affect performance of equipment operating in close proximity.• Equipment operating in close proximity may emit strong EMI or radio frequency interference (RFI) which could affect performance of device.• Recommended distances of equipment provided in Operating Instructions.• Safety risk and possible equipment damage.• Keep AED away from magnetic resonance imaging (MRI) equipment as it is unsafe. ECG MONITORING (ECG MODE) WARNINGS.Possible delay in therapy:• Do not attempt to connect 3-wire ECG cable to QUIK-COMBO therapy cable or any other AED.• ECG cable is functional only with LIFEPAK 1000.Possible misinterpretation of ECG data:• Frequency response of screen intended only for basic ECG rhythm identification; it does not provide resolution required for pacemaker pulse visibility, accurate measurements, such as QRS duration, and ST segment interpretation. For such purposes, use ECG monitors with appropriate frequency response.GENERAL CAUTION:Possible equipment damage:• Before using LIFEPAK 1000 disconnect all equipment that is not defibrillator-protected from patient.U.S. Federal law restricts this device to sale by or on the order of a physician. Please consult Operating Instructions at orcall 800.442.1142 for complete list of indications, contraindications, warnings, cautions, potential adverse events, safety and effectiveness data, instructions for use and other important information.Emergency CareThis document is intended solely for the use of healthcare professionals. A healthcare professional must always rely on his or her own professional clinical judgment when deciding whether to use a particular product when treating a particular patient. Stryker does not dispense medical advice and recommends that healthcare professionals be trained in the use of any particular product before using it.The information presented is intended to demonstrate Stryker’s product offerings. A healthcare professional must always refer to operating instruc-tions for complete directions for use indications, contraindications, warnings, cautions, and potential adverse events, before using any of Stryker’s products. Products may not be available in all markets because product availability is subject to the regulatory and/or medical practices in individual markets. Please contact your representative if you have questions about the availability of Stryker’s products in your area. Specifications subject to change without notice.Stryker or its affiliated entities own, use, or have applied for the following trademarks or service marks: LIFEPAK, QUIK-COMBO, Stryker. All other trademarks are trademarks of their respective owners or holders.The absence of a product, feature, or service name, or logo from this list does not constitute a waiver of Stryker’s trademark or other intellectual property rights concerning that name or logo.GDR 3312666_BCopyright © 2019 Stryker Manufactured by: Physio-Control, Inc. 11811 Willows Road NE Redmond, WA, 98052 U.S.A. Toll free 800 442 1142 Distributed in Canada by: Stryker Canada2 Medicorum Place Waterdown, OntarioL8B 1W2CanadaToll free 800 668 8323For further information, please contact Stryker at 800 442 1142 (U.S.), 800 668 8323 (Canada) or visit our website at 。
远程中央监护系统ECG导联辨识附件的设计张丽【摘要】目的分析远程中央监护系统的工作原理,探讨解决临床使用中存在的问题.方法应用生物医学工程专业知识设计精致便携的ECG导联辨识附件,可以迅速检测患者的电极一皮肤接触电阻,显示心电导联的工作状态.结果 ECG导联辨识附件的设计有效解决了临床医务工作人员不能准确判断心电导联与患者皮肤是否正常连接的问题,辅助医护工作人员对患者进行准确及时的救护.结论 ECG导联辨识附件辅助远程中央监护系统的应用具有很重要的临床意义,能够促进医院获得最大经济效益和社会效益.【期刊名称】《中国医疗设备》【年(卷),期】2010(025)003【总页数】3页(P50-52)【关键词】中央监护系统;ECG;实时监护;远程医疗;数字化医院【作者】张丽【作者单位】北京积水潭医院医疗器械科,北京,100035【正文语种】中文【中图分类】TP393.02Abstract:Objective To analyze the working principle of remote central medical monitoring system,and to discuss the problems which exist in the clinical.Methods Applied specialized knowledge of Biomedical Engineeringdesigns ECG cable identification attachment which is elaborate and portable. The attachment can examine the performance of electrode-skin resistance rapidly and show the work condition of ECG cable.Results The attachment effectively solved the problems which doctors and nurses can't judge whether normal connection between ECG cable and patient's skin. The attachment assists doctors to rescue the patients accurately and promptly. Conclusion Applying ECG cable identification attachment to assist remote central clinical monitoring system is significant for clinical. It can promote the hospital to obtain maximum economic benefit and social benefit.Key words:central medical monitoring system;ECG;realtimemonitoring;telemedicine; digital hospital随着现代医学技术和生物医学工程专业的不断发展,远程中央监护系统在医疗服务中起着越来越重要的作用。
Eclipse 850 ECGHigh performance and unequalled reliability in a compact packageResting ECG SystemTECHNICAL SPECIFICATIONSDimensions11.75" x 18.16" x 4.14" (299 x 462 x 105 mm)Weight14.2 lbs (6.45 Kg)Display Backlit 320 x 240 LCDKeyboard Full alphanumeric keypadInput/output Compact flash (proprietary true IDE); Units w/communications Serial RS-232;Telephone line interface (RJ11C); Analog/TTL/ExTOL output (25 pin D)Data storage40 patient recordsPower requirements AC operation:115/230 V AC +/-10%, 0.80/0.40 A, 50/60 Hz; Fuses:For 115 V,1.0A, 250 V type T; for 230 V, 0.5A 250 V type T; Battery operation:16.8V NiCadrechargeable battery pack (80 minutes w/o printing or 40 minutes w/ 40 ECGs) Printout Printout device:216 mm thermal dot array; Paper dimensions:8.5" x 11"(US letter) or 210 mm x 300 mm (A4); Paper type:Thermal sensitive; Chartspeeds:10, 25, 50 mm/sec; Gain:5, 10, 20 mm/mV; 10 mm/mV limb with5 mm/mV chest; 20 mm/mV limb with 10 mm/mV chest; Printout formats:Standard or cabrera 3, 4, 6 or 12 channel; additional rhythm formats Acquisition Lead selection:I, II, III, aVR, aVL, aVF, V1, V2, V3, V4, V5, V6, V4R;supportsFrank X, Y, Z, Cabrera, and Nehb D, A, J; Interpretation (option):Diagnosis,measurements, reason statements; Modes:Automatic, rhythm or manual;Frequency response:Meets or exceeds ANSI/AAMI EC11-1991 standard; Inputimpedance:Meets or exceeds ANSI/AAMI EC11-1991 standard; Electrode offsettolerance:+/-300 mV; A/D conversion:10 µV LSB; Artifact filter response:40 Hz, -3db; Data resolution:500 samples/second, 5 µVEnvironmental Operating temperature:50°F to 104°F (10°C to 40°C); Operating relative specifications humidity:25% to 95%, non-condensing; Operating atmospheric pressure:700 KPa to 1060 KPa; Storage temperature: -4°F to 131°F (-20°C to 55°C);Storage relative humidity:25% to 95%, non-condensing; Storage atmosphericpressure:700 KPa to 1060 KPaConforms to standards EN60601-1:1999 / CSA C22.2 no. 601-1-M90UL2601-1EN60601-2-25 / CSA C22.2 no. 601-2-25EN60601-1-2:1993Safety Leakage current:Patient <10 µA, chassis <100 µA;Defibrillation protection:to 5000 V, 400JWarranty Contact your sales representative A Second Opinion That You Can Count OnThe interpretive option, Eclipse 850i, utilizes the proven University of Glasgow algorthim (formerly known as the Glasgow Royal Infirmary algorithm) for interpretation, providing a silent second opinion. Unlike competitive products, which limit algorithm criteria to age, the University of Glasgow algorithm, under continuous development since the 1970s and introduced by Burdick in 1995, bases its analysis on five clinically significant criteria: gender, age, race, medication and classification.This is critical because ECG results for patients with different demographicprofiles and medical conditions can vary greatly. For example, subtle T-wave changes that are considered abnormalfor a white male may be considered normal for a black male of the same age. An ECG that would represent LVH in a50-year-old female may be normal fora 50-year-old male. These are just two examples of hundreds of possible clinical issues that may arise when not using an algorithm that takes into account age, gender, race, medication, and classification.Units purchased without interpretation can be upgraded at any time.Warranty and Service Offerings Protect Your InvestmentWith comprehensive warranty and service offerings Burdick helps protect your investment from unforeseen service costs, providing one less thing to worry about. Contact your Burdick representative to select a program to meet your needs.Eclipse 850 ECGORDERING INFORMATION92300-1AL09Eclipse 850 non-interpretive ECG*92300-1BLP09Eclipse 850 non-interpretive ECG with communications*92300-1AK09Eclipse 850 interpretive ECG*92300-1BKP09Eclipse 850 interpretive ECG with communications*008022 Universal cart (with steel casters)008046Universal cart (with nylon casters)704-0102-00Clear Choice®Lead Adapters92602-1A CardioVault™ECG storage software (without modem)00770410-Lead ECG Cable042079Ultra II Resting Tab Electrodes*Optional exercise stress and international configurations available.Phone: 800-777-1777, 608-764-1919 • Fax: 608-764-7190 • • info@ Due to continued product innovations, specifications are subject to change without notice. AccuPrint, Burdick, CardioVault, Eclipse, and Pyramis are trademarks of Quinton Cardiology, Inc. All other trademarks are propertyof their respective owners. ISO 13485©2004 Quinton Cardiology, Inc. All rights reserved.Form No. 4017 Rev. B 0704 Printed in USA.。
icu知识点总结IntroductionIntensive Care Units (ICUs) are specialized hospital units that provide care for critically ill patients who require constant monitoring and support. The patients admitted to an ICU may suffer from life-threatening illnesses or injuries that require close observation and intervention by a team of healthcare providers.ICUs are equipped with specialized medical equipment and facilities to provide intensive care to patients. The care in an ICU is provided by a multidisciplinary team of healthcare professionals, including critical care physicians, nurses, respiratory therapists, pharmacists, and other specialists.ICU care is characterized by its focus on advanced life support, close monitoring, and specialized interventions to support organ function and stabilize the patient's condition. This article will discuss the key knowledge points related to ICU care, including the types of ICUs, the role of healthcare providers in the ICU, patient assessment and monitoring, common ICU interventions, and ethical considerations in ICU care.Types of ICUsThere are different types of ICUs, each specializing in the care of specific patient populations or medical conditions. Some common types of ICUs include:1. Medical ICU (MICU): This type of ICU provides care for patients with medical conditions such as respiratory failure, sepsis, and acute exacerbations of chronic diseases.2. Surgical ICU (SICU): SICUs are dedicated to the care of postoperative patients who require close monitoring and support following surgery.3. Cardiac ICU (CICU): CICUs focus on the care of patients with acute heart conditions, including myocardial infarction, heart failure, and arrhythmias.4. Neuro ICU (NICU): NICUs specialize in the care of patients with neurological conditions such as stroke, traumatic brain injury, and spinal cord injury.5. Pediatric ICU (PICU): PICUs provide care for critically ill infants, children, and adolescents with a wide range of medical and surgical conditions.The Role of Healthcare Providers in the ICUThe care of critically ill patients in the ICU is provided by a multidisciplinary team of healthcare professionals. The key members of the ICU team include:1. Intensivist/Critical Care Physician: These physicians are specially trained in the management of critically ill patients and lead the medical care team in the ICU.2. Critical Care Nurses: ICU nurses are highly skilled in the care of critically ill patients and play a crucial role in patient monitoring, medication administration, and communication with the medical team.3. Respiratory Therapists: Respiratory therapists are responsible for managing mechanical ventilation and providing respiratory support for patients with lung disorders.4. Pharmacists: ICU pharmacists are involved in medication management, dosing, and monitoring for critically ill patients to ensure safe and effective drug therapy.5. Nutritionists/Dietitians: These professionals assess the nutritional needs of ICU patients and develop specialized feeding plans to support their recovery.6. Physical and Occupational Therapists: These therapists help ICU patients regain strength and function through mobilization, exercise, and rehabilitation.Patient Assessment and MonitoringThe assessment and monitoring of critically ill patients in the ICU are essential for early recognition of changes in their condition and prompt intervention. Key aspects of patient assessment and monitoring in the ICU include:1. Vital Signs Monitoring: This includes monitoring of vital signs such as heart rate, blood pressure, respiratory rate, and temperature to detect changes in a patient's condition.2. Continuous Cardiac Monitoring: ECG monitoring is essential for detecting arrhythmias and other cardiac abnormalities in critically ill patients.3. Pulse Oximetry: This non-invasive technique measures the oxygen saturation of arterial blood, providing valuable information about a patient's respiratory status.4. Arterial Blood Gas Analysis: This test provides information about a patient's acid-base balance, oxygenation, and ventilation status, which is critical for managing respiratory failure and other conditions.5. Neurological Assessment: Regular assessment of a patient's level of consciousness, cognitive function, and neurological status is important for detecting changes in brain function.Common ICU InterventionsICU patients often require a range of specialized interventions to support their organ function, stabilize their condition, and facilitate their recovery. Some common ICU interventions include:1. Mechanical Ventilation: This life-saving intervention provides respiratory support for patients with acute respiratory failure, acute lung injury, or respiratory distress.2. Hemodynamic Monitoring: This involves the continuous monitoring of a patient's cardiovascular status, including blood pressure, cardiac output, and fluid balance.3. Vasopressor and Inotropic Support: These medications are used to support blood pressure and optimize cardiac function in critically ill patients with cardiovascular instability.4. Continuous Renal Replacement Therapy (CRRT): CRRT is used for patients with acute kidney injury who require continuous renal support to manage fluid and electrolyte imbalances.5. Enteral and Parenteral Nutrition: ICU patients who cannot tolerate oral intake may require specialized nutritional support through feeding tubes or intravenous nutrition. Ethical Considerations in ICU CareThe care of critically ill patients in the ICU raises important ethical considerations related to decision-making, end-of-life care, and patient autonomy. Some key ethical issues in ICU care include:1. Shared Decision-Making: ICU care often involves complex medical decisions, and it is important to involve patients, their families, and the healthcare team in the decision-making process.2. Advanced Care Planning: Discussions about patients' treatment preferences, goals of care, and end-of-life wishes should be initiated early in their ICU admission.3. Palliative Care and Symptom Management: ICU patients may benefit from palliative care interventions to manage pain, dyspnea, anxiety, and other distressing symptoms.4. Withdrawal of Life-Sustaining Treatment: In cases where further medical interventions are futile or burdensome, discussions about the withdrawal of life-sustaining treatment may be necessary.ConclusionICU care is a specialized area of medicine that provides life-saving support and treatment for critically ill patients. The care provided in the ICU is complex and multidisciplinary, involving a wide range of specialized interventions and close monitoring. Understanding the key knowledge points related to ICU care is essential for healthcare professionals working in critical care settings to provide high-quality, compassionate care for their patients.。
物联网人体心电监护系统软件研究王嘉庆;李鸿强;于晓刚;苗长云;田文涛【期刊名称】《计算机工程》【年(卷),期】2011(037)016【摘要】基于物联网技术和小波变换,提出心电监护系统软件和用于计算机自行分析心电波形的一系列检测算法,介绍无线传感器网络在心电监护技术方面的应用.该系统软件功能包括对服务器和个人数码助理(PDA)心电数据的收发、存储、波形显示和通信管理.实验结果表明,该系统软件能使计算机和PDA实时显示被测者的心电波,所提算法经Matlab仿真测试的结果与MIT-BIH致据库标注的结果比较,误检率仅为0.89%.%This paper proposes an Electrocardiogram(ECG) monitoring system software and a series of self-detection algorithm for computer analysis of ECG, which are separately based on the Internet of Things(IOT) technology and the wavelet transform, and introduces the application of Wireless Sensor Network(WSN) for ECG monitoring. The functions of this system software include that it can realize ECG data transceiver, data memory, waveform display and communication management by using servers and Personal Digital Assistant(PDA). Experimental results show that this system software can make computer and PDA display the ECG waveform in a real-time way. Compared with MIT-BIH database annotation, the false detection rate of mis algorithm which goes trough the Matlab simulation test is just 0.89%.【总页数】4页(P273-275,278)【作者】王嘉庆;李鸿强;于晓刚;苗长云;田文涛【作者单位】天津工业大学信息与通信工程学院,天津300160;天津工业大学信息与通信工程学院,天津300160;天津工业大学信息与通信工程学院,天津300160;天津工业大学信息与通信工程学院,天津300160;天津工业大学信息与通信工程学院,天津300160【正文语种】中文【中图分类】TP311.52【相关文献】1.实时心电监护系统软件的实现 [J], 张玉林;宋娟;韩桂云2.Delphi在24小时动态心电监护系统软件分析中的应用 [J], 黄敏;卢松涛;林家瑞;李志敏3.虚拟心电监护系统软件设计 [J], 韩守谦;蒋伟林;冯凌杰4.人体心电监护物联网节点研究与实现 [J], 田文涛;李鸿强;苗长云;王嘉庆5.Delphi在24小时动态心电监护系统软件分析中的应用 [J], 黄敏;李志敏;林家瑞因版权原因,仅展示原文概要,查看原文内容请购买。
Keep-it-Easy ECG System User ManualEdition: Ver1.01. General Introduction............................................................................ - 4 -2. Requirements For Running Keep-it-Easy ECG System .................... - 4 -3. Installation............................................................................................ - 4 -4. Software Operation.............................................................................. - 7 -4.1 Main menu ....................................................................................................................... - 8 -4.2 Main Functions Introduction ...................................................................................... - 9 -4.2.1 Patient Records ............................................................................................................ - 9 -4.2.2 Real Time View............................................................................................................ - 10 -4.2.3 ECG Strip View............................................................................................................ - 13 -4.2.4 Analysis View.............................................................................................................. - 14 -4.2.5 Help .............................................................................................................................. - 18 -4.2.6 Register........................................................................................................................ - 18 -4.2.7 About System.............................................................................................................. - 19 -4.2.8 Close ............................................................................................................................ - 19 -5. Uninstall ............................................................................................. - 19 -Thank you for purchasing the Keep-it-Easy ECG System software which is the data management software for our ECG monitor. Before use, please read this manual carefully.Beijing Choice Electronic Technology Co., Ltd. (hereinafter called Beijing Choice) owns all rights to this unpublished work and intends to maintain this work as confidential. Beijing Choice may also seek to maintain this work as an unpublished copyright. No part of this can be disseminated for other purposes. In the event of inadvertent or deliberate publication, Beijing Choice intends to enforce its right to this work under copyright laws as a published work. Anyone who is not authorized by Beijing Choice cannot copy, use, or disclose the information in this manual. Content of the manual is subject to change without prior notice. All rights reserved.DeclarationAll information contained in this publication is believed to be correct. Choice shall not be liable for errors contained herein nor for incidental or consequential damages in connection with the furnishing, performance, or use of this material. This publication may refer to information and protected by copyrights or patents and does not attorn any license under the patent rights of Beijing Choice, nor the rights of others. Beijing Choice does not assume any liability arising out of any infringements of patents or other rights of third parties.1. General IntroductionKeep-it-Easy ECG System is the application software running on a computer in conjunction with the handheld ECG monitor. You can use the software on your computer to analyze, display, replay, export, import and print data transferred from the ECG monitor.2. Requirements for Running Keep-it-Easy ECG SystemTo run the Keep-it-Easy ECG System, your computer requires a hardware configuration with a minimum of PIII500 CPU, 64M internal memory, CD-ROM drive, a minimum of a 10G hard disc.Requirement for Operating System:Microsoft Windows 2000/XP/Vista operating system.3. Installation3.1 Insert the attached installation CD into your computer’s CD-ROM driver.3.2 Single click the “setup.exe” files to access the installing interface as in Fig.3-1.Fig.3-13.3 Click the “Install Keep-it-Easy ECG System” button to install the software. Refer tosteps 3.3.1 ~3.3.6 for installation instructions:Fig.3-2 Click “Next>”3.3.2Fig.3-3 Click “Next>”Fig.3-4 Click “Next>”3.3.4Fig.3-5 Click “Next>”3.3.5Fig.3-6 Click “CloseIn the interface as in Fig.3-6 click the “Close” on to finish the installation steps.3.3.6 After finishing installation of the software, a shortcut icon “Keep-it-Easy ECGSystem” will appear on your computer’s desktop, refer to Fig.3-7. You can run it by double-clicking the shortcut icon or by clicking the “Keep-it-Easy ECG System” menu item in the “Start” menu of your PC.Fig. 3-74. Software OperationThe Keep-it-Easy ECG System is the application software running on a computer together with the ECG monitor. It will only allow one ECG monitor to be connected to the computer for data transmission at a time.You can use the software for reviewing and analyzing data that was previously uploaded to it without having an ECG monitor attached to your computer.The required computer resolution is 1024×768 or higher.4.1 Main menuDouble-click the “Keep-it-Easy ECG System” icon to run the software; the main menu will be displayed as shown in Fig. 4-1.Fig. 4-1Description of Fig. 4-1::Analysis ViewBy accessing this menu item, you can review data and waveform in continuous measurement mode.:ECG Strip ViewBy accessing this menu item, you can review data and waveform in easy mode.:Real Time ViewBy accessing this menu item, you can view real-time data and waveform.:Patient RecordsBy accessing this menu item, you can manage patients’ records.By accessing this menu item, you can learn some general ECG knowledge.:Register (Optional)By accessing this menu item, you can activate the function of the analysis of arrhythmia type by inputting correct register code.:About SystemBy accessing this menu item, you can get some information about the software system.:CloseBy clicking the “Close” icon, you will exit from the software system.4.2 Main Functions Introduction4.2.1 Patient RecordsClick the icon in the main menu, the window displayed in Fig. 4-2 will pop up. In this window, the user can modify the patient’s information including name, gender and birth date and so on, but the patient ID cannot be modified. The user can also delete any existing patient’s information and add new ones.Fig. 4-2Screen Description:On the Patient Records screen, the user can modify and delete any existing patientlist; the right area of the screen is the detailed patient information for the selected stored patient archive. The following are descriptions of each field:Patient ID:Displays the patient ID, the length of Patient ID is less than 10 characters.Name:Displays the patient’s name; the length of the name should less than 40 characters.Gender:Displays the gender of the patient. Select Male or Female from the drop-down list.Birth Date: Displays the patient birth date, the length of the birthday should less than 40 characters.Height:Displays the patient’s height; the length of the height should less than 10 characters.Weight:Displays the patient’s weight; the length of the weight should less than 10 characters.Telephone:Patient’s telephone number; the length of the phone number should less than 40 characters.Address:Patient’s address; the length of the address should less than 60 characters.Allergies:Description of patient’s allergy symptoms; the length of the allergy field should less than 60 characters.Case History:Description of ECG diagnostic result; the length of words should less than 200 characters.Functional buttons:Add: You can add new patient’s information by pressing this button.Modify: Modify the selected patient’s information from the patient list.Delete: Delete the patient and his/her data selected from the patient list.Back: Exit from the current screen.Note: The Patient ID cannot be changed once saved.4.2.2 Real Time ViewOn the main menu, click the icon to enter the submenu interface, refer to Fig. 4-3. In this interface, the user can view the real-time data measured by the ECG monitor and save them into the PC for reviewing and management.1. Please connect the ECG monitor to the PC well before activating this function.Fig. 4-32. To save the real-time transferred data, be sure to check the “Real-time save”check-box, or else the data will not be saved.3. After checking the “Real-time Save” check-box, click the Start button, “Select theUser” pop-up window will be displayed, refer to Fig. 4-4. Select a user that youwould like to save data for.Note: If you want to save the real-time measured data, please be sure to check the “Real-time save” box in the interface as shown in Fig. 4-4, or else, the data will not besaved.Fig.4-4Select a patient from the table and click the “OK” button, then the data transmission will begin and the transferred data will be saved in the selected user archive. Refer to Fig.4-5.Fig.4-5The real-time data is shown as in Fig. 4-5. “HR” is the heart rate. The area of “Arrhythmia” will display the arrhythmia analysis result if you additionally purchase the register function. “Lead Status” indicates the connection status of the current lead. “ECG Speed” is the scan speed of ECG waveform. The rest items are patient information.Note: if you want to purchase the register function, please contact our company.Functional buttons:There are three functional buttons including Start, Stop and Return.Start: Starts the real-time ECG recording and transmission from the ECG monitor to the software.Stop: This button allows the user to terminate the real-time monitoring.Back: Exit from the current screen.If the real-time monitoring is interrupted because of any other reason, the system may prompt you with the following window as in Fig. 4-6. You can restart the transmission process by clicking the “Start” button after checking the connection between the ECG monitor and your PC.Fig. 4-64.2.3 ECG Strip ViewBefore performing the function, please make sure the monitor has been connected to PC with USB cable and the monitor has been activated and the power of batteries is sufficient.Click the icon in the main interface to access its submenu interface, and then click the “Read Data” button, the software system will begin to read data from the ECG monitor. Refer to Fig. 4-7.Fig. 4-7Note: Please do not disconnect the USB cable or operate the monitor so as to keep the data transferring continually during the data transferring.After finishing data transmission, the system may prompt that the data transmission has been finished successfully! The data that has been transferred into the software will be displayed in the left area of the interface. When the reading is finished, you can select some data item(s) and save them into archive by clicking the “Import ECGs” button. A window as shown in Fig. 4-4 will pop up; you can add new users by clicking the “Add User” button. Itsspecific operations are the same as the introduction in “4.2.1 Patient Records”.Note: Please make sure to save the transferred data items into the software by clicking the “Import ECGs” button, or else, the data may fail to be saved into the software when exiting from the current interface.4.2.4 Analysis View4.2.4.1 Data ReplayClick the “” icon to enter the submenu interface. And then click the “” icon of the toolbar which is on the top of the interface to replay ECG waveform. The interface is as shown in Fig. 4-8.When you want to view someone’s ECG wave, select his/her archive in archives list on the right by clicking its row. And then all the ECG belonging to this user will be displayed on the left area. Every row of contractible ECG wave on the lower left displays ECG wave for 30 seconds.Fig. 4-8From the interface as shown in Fig.4-8, the user may review the ECG wave measured in the continue mode. For example as in Fig.4-8, the user can use a green selecting box toselect a section of ECG wave. Shift mouse and click any dot in ECG wave can pitch on the section of ECG wave, then its amplificatory wave will be displayed on the above wave box and its corresponding record information (its heart rate value and measuring “Time” of the original record) will be shown on the right area of the interface.V-scale Amplify: The user can review the different proportional display of the section of ECG wave by setting the display scale. By clicking the “Last Page” or the “Next Page” button, the user can view the previous or next page data items.Additionally, measurement analysis and patient(s)’ information also may be displayed on the right area.What’ s more, the user can print the current selected record and ECG wave or the current selected page of records and ECG wave by clicking the “Print Report” button.4.2.4.2 Record ManagementClick the “” icon of the toolbar to switch to the “ECG record management” interface, such as in Fig.4-9.Select a patient archive whose data you want to view in the table on the left top of the interface, the data items belonging to this patient will appear in the table on the lower left of the interface. Refer to Fig.4-9.You can also select a data item that you want to view from the list that located in the left area of the interface, and then the corresponding ECG wave will be displayed on the right area. Every data item displays ECG wave for 30 seconds. Refer to Fig.4-9.Fig.4-9When there are too many users in the archive list, the user can use the function of “Query” to search the user archive that is needed. Two query conditions are provided by the system, Patient ID and Name. Input the correct patient ID or name into the edit-box on the right, and then click the “Query” button to search the corresponding patient.Functional buttons:Delete: The user can delete the current record(s) of the current user by clicking this button.Import: By clicking this button, the user can import the record(s) that has been saved on the PC to the software for reviewing and management.Export: By clicking this button, the user can export the current record(s) of the current user to PC with the extension of .cEcg or .bmp.4.2.4.3 ECG waveform analysisClick the “” icon of the toolbar to switch to the ECG waveform analysis interface asshown in Fig.4-10.Fig.4-10Description of Fig.4-10:The patient information table is on the left side of ECG waveform. Select the target in it, and then the right will show the corresponding ECG waveform. According to these waveforms, the ECG waveform analysis will be shown above, including the results of HR, ST, PR, ORS, QT and QTC. You can also choose a specific part of the waveforms to see the analysis by clicking on the waveforms.Functional buttons:Print analysis: The user can print the ECG analysis results by clicking the “” icon in the toolbar.Save analysis as picture: The user can save the analysis as picture to the PC with the extension of .bmp, .jpeg, .gif, .tiff, or .png by clicking the “” icon inthe toolbar.Email picture to: The user can email the analysis as picture to the mailbox you input by clicking the “” icon in the toolbar.Print preview: The user can preview the ECG waveforms and analysis before printing by clicking the “” icon in the toolbar. The preview interface as shown inFig.4-11.Fig.4-114.2.5 HelpYou can obtain the troubleshooting instructions and general knowledge about ECG byclicking the icon in the main menu interface.4.2.6 RegisterThe arrhythmia type analysis function is optional and not included in the standard package. If you have bought the function, you need to apply a register code which is necessary to activate the arrhythmia type analysis function.You can see the following interface in the “Version” menu of the ECG monitor. Refer to Fig.4-12. Return the SN code to our company for Register Code, then you will gain theRegister Code from us.How to activate ECG analysis function of the ECG monitor:Access the dialog box as shown in Fig.4-13 by clicking the icon of “Register”, andinput the Register Code in the editable box, then click the “OK” button.Fig. 4-134.2.7 About SystemClick icon to access the information interface.4.2.8 CloseClick icon to exit from the Keep-it-Easy ECG System.5. UninstallClick the “Start” menu of Windows system to find the Keep-it-Easy ECG System program group, then click the “Uninstall” item and the following prompt will appear as in Fig.5-1. Click the “Yes” button in Fig.5-1, then the uninstall will be finished.Fig. 5-1Manufacturer address:Beijing Choice Electronic Technology Co.,Ltd.Bailangyuan Building BRm. 1127-1128,Fuxing Road, A36100039 BeijingPEOPLE’S REPUBLIC OF CHINA。
基于JAVA手机便携式心电监护分析仪的ECG信号采集模块设计李远;蒋稼欢;章毅;唐俊铨;刘玉梅【摘要】目的:设计一种基于JAVA手机的便携式心电监护仪的心电信号采集模块.方法:心电采集模块采用低功耗51单片机为控制核心,通过心电信号的采集、放大、滤波、A/D转换以及红外通讯接口5个模块,实现心电信号的采集及与JAVA移动手机之间的通信.结果:设计的采集模块具有高输入阻抗、高共模抑制比、低噪声、增益可控等优点,可实现心电信号无失真采集和与手机间进行红外线通信.结论:该心电信号采集模块成本低、体积小、耗电少,适合患者自身携带和医务工作者使用.%Objective To design an ECG(electrocardiogram) acquisition module of JAVA cell phone-based portable ECG monitoring analyzer. Methods The functions of this acquisition module included ECC signal collecting, amplifying, filtering, A/D conversion and infrared data communication, which were controlled by the low-power-consumed 51 series microcontroller and achieved the ECG signal collation and communication with JAVA cell phone. Results This module showed the features of high input impedance, high common mode rejection ratio(CMRR) lower noise and controllable amplifying multiple, which could achieve the functions of ECG distortion-free collection and infrared data communication with telephone. Conclusion The system has the advantages of lower cost, small volume, low power consumption and being easy to carry .【期刊名称】《医疗卫生装备》【年(卷),期】2011(032)001【总页数】5页(P18-22)【关键词】心电监护;单片机;红外数据通信;手机【作者】李远;蒋稼欢;章毅;唐俊铨;刘玉梅【作者单位】400030,重庆,重庆大学生物工程学院;402160,重庆永川,重庆医科大学附属永川医院中心实验室;400030,重庆,重庆大学生物工程学院;400030,重庆,重庆大学生物工程学院;400030,重庆,重庆大学生物工程学院;400030,重庆,重庆大学生物工程学院【正文语种】中文【中图分类】TH772.2Abstract ObjectiveTo design an ECG(electrocardiogram)acquisition module of JAVA cell phone-based portable ECG monitoring analyzer.MethodsThe functions of this acquisition module included ECG signalcollecting,amplifying,filtering,A/D conversion and infrared data communication,which were controlled by the low-power-consumed 51 series microcontroller and achieved the ECG signal collation and communication with JAVA cell phone.ResultsThis module showed the features of high input impedance,high common mode rejectionratio(CMRR)lower noise and controllable amplifying multiple,which could achieve the functions of ECG distortion-free collection and infrared data communication with telephone.ConclusionThe system has the advantagesof lower cost,small volume,low power consumption and being easy to carry.[Chinese Medical Equipment Journal,2011,32(1):18-22]Key words ECG monitoring;singlechip;infrared data communication;cell phone随着科技的进步和社会的发展,现代医疗已从过去的疾病治疗转为预防、保健和提高身体素质[1]。
Journal of Biosciences and Medicines, 2015, 3, 18-23Published Online April 2015 in SciRes. /journal/jbm/10.4236/jbm.2015.34003Design and Implementation of Long-TermSingle-Lead ECG MonitorMeng Shen, Shijing XueNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaEmail: shenmeng_milink@Received January 2015AbstractSome heart diseases need long-term monitoring to diagnose. In this paper, we present a wearable single lead ECG monitoring device with low power consumption based on MSP430 and single-lead ECG front-end AD8232, which could acquire and store patient’s ECG data for 7 days continuously.This device is available for long-term wearing with a small volume. Also, it could detect user’s motion status with an acceleration sensor and supports Bluetooth 4.0 protocol. So it could be expanded to be a dynamic heart rate monitor and/or sleep quality monitor combined with smart phone. The device has huge potential of application for health care of human daily life.KeywordsSingle Lead ECG, Long-Term Monitor, Low Power Consumption1. IntroductionLong term ECG monitoring has a great significance to the clinical diagnosis of heart disease. Some diseases have the characteristics of sporadic and transient in ECG performance. Usually, the current Holter monitors can only monitor patient’s ECG for 24 hours continuously, unable to meet needs. For an example, 24-hour Holter monitor follow-up could not provide accurate heart rhythm status after surgical atrial fibrillation ablation thera-py [1]. Long term monitoring device needs to be portable, comfortable and has no interference on the user’s daily life. In recent years, many scholars and research institutions have designed many kinds of long-term ECG monitor devices, in order to record user’s long-term ECG signals in daily activities. S. Suave Lobodzinski et al.presented a wearable long-term 14-day patch ECG monitor that was attached directly to the skin and required no electrodes and wires [2].This paper presents a long-term single lead ECG monitoring device which uploads ECG data to computer through USB communication protocol and doing data analysis on computer. The system design is introduced in Section II, and software design is described in Section III. Section IV covers the experimental resaults and Section V is the conclusion.2. System Design2.1. Design Considerations & SpecificationsThe ECG monitor realizes long-term single lead ECG monitoring and motion data acquisition, also supportingwireless transmission with computer and mobile phone, specifically including the following functions: 1) Single lead ECG signal acquisition with sampling frequency 256 Hz and sampling precision 12 bit; 2) Motion status monitoring with 3D acceleration sensor with sampling frequency 64 Hz and sampling precision 16 bit; 3) Sto-rage of 7 days ECG data and motion data; 4) Support of USB interfaces, through which upload data to computer;5) Support of Bluetooth wireless communication, capable of communicating with mobile phone wirelessly.The system is used for long-term data acquisition and storage, so low-power design should be taken into con- sideration. Also, system must be small in volume and comfortable to be worn with no inference to user’s daily life.2.2. System ArchitectureSince the device is mainly used to record ECG and motion data which doesn’t involve in complex operations, single-chip microcomputer(SCM )is implemented in our system. Take the size and power comsuption into con- sideration, we choose MSP430F5524, a ultralow-power microcontroller of Texas Instrument Co. This chip is configured with integrated USB and PHY supporting USB 2.0, a high-performance 12-bit analog-to-digital con- verter (ADC), two universal serial communication interfaces (USCI) which can be used as SPI, IIC and UART respectively [3].The system consists of the following modules MCU control module, ECG analog front end, Bluetooth module, SD card storage module and motion sensor module, power management module. The system architecture of de-vice is shown in Figure 1.A fully integrated single lead ECG front-end AD8232 form ADI company is adopted for ECG acquisition. ST company’s three axis acceleration sensor is selected as motion sensor. Removable SD card is chosen as the ECG data storage unit, with a memory size of 4 GB, capable of 7 days’ storage of patient’s ECG data continuously. MSP430 communicate with SD card through SPI communication interface, implementation of ECG data’s read and write, and realize ECG data’ upload to computer based on USB communication protocol. Also, MCU com- municate with Bluetooth module CC2540 through serial port UART, realizing the communication between monitor and mobile phone. USB interface is supported directly by MSP430F5524.2.3. ECG AcquisitionWe use a fully integrated single lead ECG front-end AD8232 with low-power. This device is designed for extract, amplify, and filter small biopotential signal in the presence of noisy conditions, such as those created by motion or remote electrode placement. It consists of a specialized instrumentation amplifier (IA), an operational amplifier (A1), a right leg drive amplifier (A2), and a midsupply reference buffer (A3). The AD8232 contains a specialized instrumentation amplifier that amplifies the ECG signal while rejecting the electrode half-cell potential on the same stage. This is possible with an indirect current feedback architecture, which reduces size and power compared with traditional implementations. In addition, the AD8232 includes leads off detection circuitry and an automatic fast restore circuit that brings back the signal shortly after leads are reconnected [4].Figure 1. System architecture of ECG monitor.AD8232 is integrated with two-pole adjustable high-pass filter and three-pole low-pass filter, and right leg driven amplifier, providing convenient debugging interface.2.4. Motion SensorThe motion of human body in daily activities will bring interference to ECG signals [5]. In order to monitor human body’s motion in daily activities, the system is equipped with acceleration sensor. LIS3DH chip from ST Company is selected as the acceleration sensor, which can output three axis acceleration of digital signal, and communicate with MSP430 through SPI interface.2.5. Wireless TransmissionThe wireless communication module choose the low power Bluetooth chip CC2540 form TI [6], communicating with MSP430 through the internal integrated UART, realizing wireless communication with mobile phone. 2.6. Low Power Consumption DesignThe wearable ECG monitor device is used for the long-term ECG signal acquisition and storage of patients in daily life, so low power consumption design is important in system design.Based on the realization of low power consumption, the system uses the following points: 1) Choose the ultralow-power microcontrollers MSP430F5524 form TI as our system’ MCU; 2) Adopt the low-power, true system-on-chip Bluetooth CC2540 to realize wireless transmission; 3) The whole system adopts 3.3 V single power supply which powered by rechargeable lithium batteries. The battery voltage ranges from 3.7 V to 4.2 V and output constant voltage 3.3 V through a linear regulator CMOS PAM3101.3. Software DesignThe ECG monitor realizes continuous acquisition and storage of ECG signals and supports USB interface, through which enables data communications with computer.3.1. Main Program Design of MCUWhen device is power on, main program implements the initialization of AD converter, timer, SPI, USB and serial port modules first and then enable interrupt, entering the main loop program. In the loop program, USB interface state and electrode state are visited alternatively. When the device is connected to computer, device is accessed as a USB mass storage device class (MSC) and files in SD card is available directly by software of computer. The voltage of pin changes when electrode contact with the skin is detected. Once detection the voltage changes of pin, timer and AD converter start to work. The master flowchart is shown in Figure 2.3.2. Interrupt Service RoutineThe acquisition and storage of ECG data and motion data are implemented in the timer interrupt service routine. Interrupt service program flow chart is shown in Figure 3. The sampling frequency of ECG signal is 256 Hz. However, motion signal’s sampling frequency is set to 64 Hz, which means motion signal will be sampled after four ECG signal samplings. Sampling data will be cached in a data array with a length of 512 × 2 bytes. When the preceding 512 bytes block (block 1) finished, data will be written to SD card files as a data packet and the following 512 bytes block (block 2) keeps caching sampling data. When the following 512 bytes block (block 2) finished, sampling data will be written to SD card in the same way. The use of 512 × 2 bytes array separates the process of sampling and storage, keeping the continuity of storage data.3.3. Management of SD Card StorageIn this system, FAT32 file system is adopted for storage management. In SD card, cluster is defined as the sto-rage unit formed by 8 sectors with 512 bytes per sector. To avoid user’s wrong operations to files on SD card, functions of file creation and deletion are shielded in the SCSI Protocol layer from peripherals.A new file is created in the root directory of the FAT32and opened when the device start to collect data. In the monitoring process, ECG data and motion data are written to the file as a data packet with length of 512 bytes inFigure 2. Master flowchart.Figure 3. Interrupt service routine flowchart.binary code. The file is closed after the last data packet is written when the device stops monitor. Data structure is shown in Figure 4.3.4. USB CommunicationThis device adopts MSC communication protocol (namely the USB mass storage device class) to realize data transmission between device and the computer. MSC protocol is a transport protocol used between computer and mobile device.The device will be identified as MSC equipment when device is connected to the computer. MCU MSP- 430F5524 adopted in our system can work in the highest frequency of 20 MHz. In order to improve the trans-mission speed, SCSI command task is adjusted to the highest priority and only the system clock and statistical task are allowed. Finally, the data transfer speed reaches 250 KB per second.4. Experimental ResultsThe volume of device is 30 × 30 × 6 mm (about one ¥ coin size), with weight 12 g, very small and light, com- fortable to be worn. The system photo is shown as Figure 5.The system was tested (ECG monitor worn in the chest near the heart) and the ECG signal is shown in Figure6. As can be seen from the chart, the ECG waveforms maintain good character of ECG signals. P, QRS and T wave can be recognized easily, able to be used as clinical medical data analysis.Block1: data packet of 512bytes Array of 512x2 bytesFigure 4. Data structure in SD card.Figure 5. Picture of ECG monitor.Figure 6. Display of ECG waveform.Our system has been clinically tested and is asking for the SFDA certification, can be used as a medicinal product on 7 days’ single lead ECG screening.5. ConclusionIn this paper, we present a wearable single lead ECG monitoring device with low power consumption based on MSP430 and single-lead ECG front-end AD8232, which could monitor and store patient’s ECG data for 7 days continuously. This device is very convenient for long-term wearing with a small volume. Also, this system is equipped with an acceleration sensor and supports Bluetooth 4.0 protocol, could realizing patient’s dynamic heart rate monitor and sleep quality analysis combined with mobile phone, which is suitable for mobile health and has a huge potential of application.References[1]Hanke, T., Charitos, E.I., Stierle, U., et al. (2009) Twenty-Four-Hour Holter Monitor Follow-Up Does Not ProvideAccurate Heart Rhythm Status after Surgical Atrial Fibrillation Ablation Therapy: Up to 12 Months Experience with a Novel Permanently Implantable Heart Rhythm Monitor Device. Circulation, 120, S177-S184./10.1161/CIRCULATIONAHA.108.838474[2]Lobodzinski, S.S. and Laks, M.M. (2012) New Devices for Very Long-Term ECG Monitoring. Cardiology Journal, 19,210-214./10.5603/CJ.2012.0039[3]Reid, W. (1997) Mixed-Signal Microcontroller. Texas Instruments./cn/lit/ds/symlink/msp430f5524.pdf[4]Analog Devices, Inc. (2012) “AD8232” Rev. A. http://www.ntomsk.ru/uploads/datasheets/AD8232.pdf[5]Yoon, S., Lee, S., Yun, Y., et al. (2007) A Development of Motion Artifacts Reduction Algorithm for ECG Signal inTextile Wearable Sensor.World Congress on Medical Physics and Biomedical Engineering2006, Springer, Berlin, 1210-1213.[6]Texas Instruments (2010) CC2540 2.4-GHz Bluetooth R Low Energy System-on-Chip./cn/lit/ds/symlink/cc2540.pdf。
心电监测的操作流程及注意事项As technology advances, more people are using heart rate monitorsto keep track of their health. One common type of heart rate monitor is an electrocardiogram (ECG) machine. This device measures the electrical activity of the heart and displays it on a graph. When using an ECG machine, it is important to follow the correct procedures to ensure accurate readings. 随着科技的进步,越来越多的人开始使用心率监测仪来关注自己的健康。
一种常见的心率监测仪是心电图(ECG)机。
这种设备可以测量心脏的电活动并将其显示在图表上。
在使用心电图机时,必须遵循正确的操作流程,以确保准确的读数。
Before starting the ECG monitoring process, it is essential to prepare the patient properly. Ensure that the patient is comfortable and relaxed, as stress or discomfort can affect the results. Explain the procedure to the patient and answer any questions they may have to alleviate any anxiety. Proper skin preparation is also critical for accurate readings. Clean the areas where the electrodes will be placed to ensure good contact with the skin. 在开始心电监测过程之前,必须正确准备病人。
Department of Electronic & Electrical EngineeringMSc Electronic & Electrical Engineering Dissertation 2013NEONATAL ECG MONITORING: NEONATAL QT INTERV AL MEASUREMENT SYSTEMStudent: MUGALI,SANKETRegistration: 120118032Date: 30/08/2013Supervisor: Dr. Mohammed BenaissaSecond Marker: Dr. Peter. I. RockettThis dissertation is a part requirement for the degree of MSc in Electronic & Electrical Engineering.CHAPTER 1. INTRODUCTION & OBJECTIVEElectrocardiograph(ECG or EKG) is a transthoracic translation of the electrical activity and function of the heart[3].It is an aide in diagnosis of any irregularities regarding the heart’s activity.The rhythmic activity is represented as waves in an ECG. It is interpreted as peaks and intervals. The Q-T interval is of significance since it provides vital information regarding existence of ailments, if any. Prolongation of this interval is popularly known as long Q-T syndrome, which is a cause for sudden death in patients.Over the years, the Sudden Infant Death syndrome (SIDS) is meticulously studied[6]. The infant mortality due to long QT syndrome has been significant in number of fatalities. The prolongation in the QT interval proves to be fatal because of the high heart rate in infants, ranging from 80 to 180 beats/min[4]. Due to its significance, a rugged, economic and portable device to measure neonatal QT interval is important.The objective of the project is to create an optimal Neonatal Q-T interval measurement system for portable devices. The main objective of the project is to eliminate the noise and artifacts from the original ECG signal to get an accurate measurement of the QT interval. This can be achieved by effective signal processing of the acquired data2.BACKGROUNDA regular heart beat is generated by a tiny pulse of electric current. This small electric current rapidly spreads through the heart and contracts the heart muscles. The process begins at the top of the heart, spreads down and then goes back to the top again, causing an optimal contraction of the heart muscles to pump blood[1].The cardiac cells at rest are considered to be polarized,i.e, absence of electrical activity. Ions such as sodium, potassium and calcium, with different concentrations are separated by the cell membrane of the cardiac muscle cell. This period is called the resting potential.A specialized cardiac cell automatically generates an electrical impulse.Generation of this electrical impulse is the cause for the ions to cross the cell membrane and cause action potential. This process is called depolarization[2]. Ion movement across their channels is the drive causing contraction of the cardiac muscle. This myocardial muscle contraction due to depolarization moves across the heart as a wave. The relaxation of the myocardial muscle results in the return of the ions to their previous resting state. This process is called repolarization[2]. The muscle activity is, therefore, the result of depolarization and repolarization electrical activities.The electrical impulse generated with depolarization and repolarization is not confined only to the heart, but spreads across the body. An Electrocardiograph (ECG or EKG) is the interpretation of these electrical activities recorded to an external device, detected by the electrodes attached to the skin surface, over a period of time. ECG is an effective way to interpret the function of the heart. The successive depolarization and repolarization, detected by the electrodes, is represented in an ECG as waves and intervals[3].2.1 ECG AnalysisThe cardiac cycle, as represented in the ECG, comprises of P,Q,R,S,T and U waves. These waves are generated with the successive depolarization and repolarization activity of the heart. The major points of interest among these are P-wave, QRS complex and T-wave.FIGURE 1: REPRESENTS THE GENERAL FORM OF AN ECG OR EKG[13]NORMAL RANGE OF THE ECGP-R INTERV AL: 0.12 TO 0.20 SECONDSQ-T INTERV AL: 0.35 TO 0.44 SECONDSS-T SEGMENT: 0.05 TO 0.15 SECONDS2.2 Characteristics of an ECG WaveformP-Wave: The P-wave is the result of the depolarization which sends an electrical impulse through the Sinoatrial node to the Atrioventricular node. The duration is generally 80-100 milliseconds[3].QRS-Complex: The Ventricular depolarization is represented by the QRS complex. It is composed of three waves namely, Q-wave, R-wave and S-wave. The normal range of QRS complex is 60 - 100 milliseconds. The peak in R-wave is due to the force exerted by the ventricular walls during depolarization[3].T-Wave: The Ventricular repolarization is represented by the T-wave, which is a slower process and has a longer range on the ECG. Sometimes, following the T-wave, a small positive U-wave can be seen, which is the remnant of the repolarization process[3]. The duration generally lasts around 160 milliseconds.P-R Interval: The time period between the onset of the P-wave and the beginning of the QRS complex is represented as the P-R interval. This interval is the representation of the time between the start Atrial depolarization and the start of Ventricular depolarization. The normal range of the P-R interval is 120-200 milliseconds[3].Q-T Interval: The Q-T interval is the time elapsed between the onset of Q-wave and the end of T-wave. This represents the complete depolarization and repolarization process of the heart along with the resting potential[3].The Q-T interval is heart rate,gender and age dependent and can be adjusted to improve the detection of high risk arrhythmia. The duration is around 440 milliseconds.S-T Segment: The S-T segment is the representation of the resting potential (isoelectric period) after the Ventricular depolarization[3].R-R Interval: It is the interval between two successive R peaks produced by two successive heart beats. Determination of R-R interval gives the heart rate.2.3 Q-T Interval InterpretationThe standard clinical procedure to determine this interval is use of Bazett’s formula[4] which is given by,(1)where, QTc is the corrected Q-T interval measurement and R-R is the duration between two successive R-peaks.Q-T segment reflects many of the cardiac abnormalities. Prolongation of the Q-T interval can be an indication towards certain types of arrhythmias, a fatal condition. This is often referred to as long QT syndrome (LQTS), which is a cause of infant mortality.As mentioned, Q-T interval is the measure of ventricular depolarization and repolarization, the prolongation is caused due to electrical dysfunction of the ion channels in the cardiac muscle cells as a result of increased positively charged ions, causing a delay in repolarization which increases the risk of sudden death.LQTS is an ion channel disorder, i.e; the disorder is caused due to mutation in either cardiac potassium channel gene [KCNQ1(LQTS1), KCNH1(LQTS2)] or cardiac sodium channel gene [SCN5A(LQTS3)][5]. LQTS is categorized under Sudden Infant Death syndrome (SIDS)[6] and is considered as one of the significant cause of death in neonates or new born children. It is necessary to determine the Q-T interval accurately for proper treatment.Mass data analysis of neonatal ECG shows the positive predicted accuracy for SIDS is just 1.4% for a QTc of more than 440 milliseconds[14]. With high repeatability rate, about 50 milliseconds, accurate QTc measurement becomes a challenge. Determination of the T wave offset or T wave end is difficult at such brisk heart rates. This tends the Bazett’s formula[4], for corrected Q-T interval (QTc), invalid, further reducing the prediction accuracy of 1.4%[14]. Physical interpretation of the Q-T interval is difficult in such case.Manual interpretation is even more difficult with the inclusion of noise in the ECG. Noise source can be from muscle contractions, respiration, power line interference, inductance from the leads and/or surrounding electronic equipments[7]. The interferences generally lead to a signal drift from the baseline, creating an instance called base line wandering. All such interferences have to be eliminated for accurate extraction of the Q-T interval. ECG signal needs to be processed optimally to achieve this. A robust system is necessary to aide in clear interpretation of the Q-T interval.The main objective here is to design such a system for a portable ECG recording device. The portable devices range from two lead to twelve lead measurements. For a multi lead device, the Q-T interval is a measure of average of all the leads. If a single lead is to be chosen, the priority is lead V(3) or V(5)[15].The signal processing includes elimination of the base line drift and other instances of noise, feature extraction involving extraction of Q-T interval information and representation. The range of an ECG is about 0.1 - 250 Hz in frequency. Low frequency interference in the range of <0.03 Hz causes base line wandering[17]. Various filtering methods can be employed to correct the base line drift of the signal, such as, FIR filters, Wavelet decomposition, Adaptive filters, Zero Phase IIR filters and moving averaging filters[16].Power line interference, as the name suggests, can be caused due to the power supply component of the device. It may not be an issue with the portable devices because of its relatively low operating voltage, however the possibility cannot be ignored. This noise is generally in the range of 50 Hz which can corrupt the ECG signal and prevent the detection of certain types of arrhythmia. .Extraction of the required information from an ECG after the filtering is of primary interest. Research in this area is highly active among both medical practitioners and engineers. Many algorithms and mathematical models have been developed and tested over the years. One of the most popularly method employed for this purpose is Pan-Tompkins algorithm[18].The ECG signal is filtered using band pass filter with the combination of a low pass and high pass filter. Next steps involve differentiating and squaring the signal. Finally, the signal is integrated with a moving window method[18]. The method is accurate for extraction of QRS complex and is discussed further in the report.Another method employed for the feature extraction is based on the idea of wavelet decomposition or wavelet transform. An array of low pass and high pass filters are used for the decomposition of the signal, which filters the signal and simplifies the feature extraction. The combination of successive low pass and high pass filters used in this is known as filter banks[12]. This method is also discussed further in the report.The detection of the QRS complex is started by first detecting the most prominent peak in the signal which is the R peak. The detection of Q peak and S peak is relatively simpler from this point on. This is followed by detection of T peak in the signal using a similar approach. However, measuring the offset or end of T wave is a challenging task. This is very important as Q-T interval is a measure of the time between onset of Q wave and end of T wave.3.METHODOLOGYThe Technique can be segregated into three main stages namely;3.1 Data AcquisitionThe ECG data to be processed is acquired in this stage. The data is acquired from several databases for testing. On successful completion, actual real time data will be acquired and tested3.2 Signal Data ProcessingThis stage involves Processing of the acquired digitized data to extract the required information. It mainly involves;3.2.1 Interference eliminationElimination of noise and correction of base line drift in the sample data.3.2.1 Feature extractionDetection of QRS complex, Q onset and T wave end to extract the Q-T interval.3.3 Graphical User Interface(GUI)A platform for user end measurement of the system is to be created using GUI3.1 Data AcquisitionThe sample data was acquired from an online database, available on the website “”. The database contains large collection of recorded physiological data and is open source[19].The data used in ECG analysis in this report was acquired from the MIT-BIH Arrhythmia Database and QT Database. The MIT-BIH Arrhythmia database contains two lead ECG data recored for half hour. The data set is a mixture of both in patients and out patients, annotated by cardiologists for digital interpretation. The records were digitized at a sampling rate of 360Hz[20].The QT Database contains fifteen minute ECG recordings which were selected from the MIT-BIH Arrhythmia database, European Society of Cardiology ST-T database and various other sources to work with the real-time QT interval detection algorithms. The data was annotated by cardiologists and digitized at a sampling rate of 250 Hz[20][21]The digitized ECG data is available in various formats such as *.txt, *.dat, which is desirable for analysis[19].The digitized ECG data can be loaded into MATLAB directly using the WFDB Toolbox, open source software package available from the website and is compatible with all versions of MATLAB. The tool box contains applications to read, write and plot the physiobank data[22].Figure 2. Acquired ECG signal From QT Database3.2 Signal Data ProcessingECG sample data acquired from the database is processed for correction of base line drift and elimination of power line interference if any, and detection of QRS complex, T wave and extraction of Q-T interval.3.2.1 Interference EliminationThis stage eliminates the two most common type of interferences affecting the ECG recordings which are base line drift and power line interference.BASE LINE WANDERBaseline wandering is an effect which shifts the position of signal base.In an ECG, this can be caused due to respiration, perspiration or any physical activity. The range of the frequency components is usually within 0.5 Hz(<0.03 Hz)[17], however, this can be higher under stress. The low frequency state of the baseline is in range with the S-T segment, which makes it tricky to eliminate. Narrowband filtering can be used for this purpose. This method has its limitations which may lead to distortion of the ECG. To refrain the ECG signal distortion, linear phase filtering can be used such as Forward-Backward IIR filters or Zero Phase Filtering.POWER LINE INTERFERENCEPower line interference, as the name suggests, can be caused due to the power supply component of the device. This noise is generally in the range of 50 Hz which can corrupt the ECG signal and prevent the detection of certain types of arrhythmia. The power line noise can be filtered out using a notch filter set at 50 Hz. However, the power line noise can sometimes be unpredictable and may vary beyond 50 Hz. The design can be improved by using adaptive filtering technique[9]. For a portable device, this may not be an issue.Filters are implemented using the DSP Toolbox in MATLAB. Butterworth filters are implemented for interference elimination. Bandpass filters with the combination of High-pass filter and Low-pass filters set at 0.5 Hz and 40 Hz respectively are used to eliminate base line drift and resist power line interference.3.2.2. Feature ExtractionThis is the most crucial part of procedure involving analysis of sample data and extraction of the QT interval. Two methods are tried for this purpose, one based on Pan-Tompkins Algorithm and other based on Wavelet Decomposition.I.Pan-Tompkins AlgorithmThis feature extraction was developed in 1985 by Jaipu Pan and Willis. J. Tompkins. It is one of the widely used algorithms to detect QRS complex, remove noise and correct base line drift. This approach combines filtering and detection based on threshold approximation.The filtering stage is pre processing of the signal to identify and enhance QRS complex and suppress the remaining elements in the signal, i.e., P wave and T wave.Processing stage is a combination of:•Linear filters ,•Nonlinear transformation and•Decision rule algorithm .Initially, linear filters extract the desired frequencies and each positive peak is identified by nonlinear transformation. Presence or absence of QRS complex is determined by further processing the signal using thresholding technique.Linear Filtersa) Bandpass Filterb) Differentiatord) Moving-Window Integrator Nonlinear Transformation c) Squaring FunctionDecision Rule Algorithma)Bandpass Filter.This is a noise removal process. Base line drift, 60 Hz powerline interference and other interference due to muscle contractions and/or respiration, are eliminated in this stage. This is to be designed with the frequency range of 5-15 Hz to maximize QRS complex energy.Practical design of the bandpass filter is completed by cascading low pass and high pass filter to achieve 3dB passband for a range of 5-12 Hz.The Low Pass filter transfer function is given by;(2) The Low Pass filter difference equation is given by;y(nT) = 2y(nT-T) - y(nT-2T) + x(nT) - 2x(nT - 6T) + x(nT - 12T)(3) where T is time between samples.•High Pass transfer function is given by;(4)•High Pass filter difference equation is given by;y(nT) = 32x(nT - 16T) - [y(nT - T) + x(nT) - x(nT - 32T)] (5)where T is time between samples.The output of this stage can be seen in Figure (3) and Figure(4).b)Differentiator.This stage involves obtaining a derivative of the filtered signal to get QRS complex slope information. This is achieved using a Five-point derivative with the transfer function;(6)The derivative stage shows approximately linear frequency response in 0 - 20 Hz range. High frequency noise is not amplified in this stage. This is the main advantage, and also, at half of the sampling rate, the frequency response goes to zero.The output of this stage can be seen in Figure(5).c)Squaring FunctionPoint by point squaring of the signal is done after obtaining the slope information from the derivative. The function is given by;y(nT) = [x(nT)]^2(7)This process turns the sample points positive and enhances the high frequency components of the signal by nonlinear amplification.The output of this stage can be seen in Figure(6).d)Moving-Window IntegratorThe purpose of this stage is to accumulate important information from the waveform along with the R wave slope. The difference equation is given by;y(nT) = (1/N)[x(nT-(N - 1)T) + x(nT - (N - 2)T+ ...+x(nT)](8)The output of this stage can be seen in Figure(7)N is number of samples in the width of moving window.This parameter is extremely important. Window width of an optimum value must be chosen such that it fits the widest QRS complex. If window width is too long or wide, T wave is also detected along with QRS complex which provides undesirable information regarding the QRS complex. If the window width is too small or narrow, multiple peaks will be produced in the integrated waveform by some of the QRS complexes. This may lead to detection error of the QRS complex.A refractory period of 200 milliseconds exists after the first QRS complex, before the other can be detected. This is due to physiological restrictions of its occurrence. False detection of QRS complex or of a T wave is thus avoided.Decision Rule AlgorithmThe top priority of this stage is detection of R peak. Detection of Q and S peaks is simplified once this is achieved.After the integration, width of the QRS complex is equivalent to the time duration of the integrated waveform’s rising edge. From this rising edge, a fiducial point of the QRS complex can be located and can be estimated as the R peak.•Threshold AdjustmentAdaptive threshold adjustment is used to search for the peaks. The thresholds adjust automatically to float over the noise[18]. Enhancement in the signal to noise ratio by bandpass filter enables the use of low thresholds. Two thresholds are used, one being higher than the other. The higher one is used for analysis of the signal. If no QRS is detected, the lower threshold is used as a search back method in that particular interval.The set of thresholds applied to the resultant integrated waveform are;SP1 = 0.125 PK1 + 0.875 SP1 (if PK1 is signal peak) (9) NP1 = 0.125 PK1 + 0.875 NP1 (if PK1 is noise peak) (10)THI1 = NP1 + 0.25(SP1 - NP1) (11) THI2 = 0.5 THI1 (12)PK1 is the average peakSP1 is the detected signal peakNP1 is the detected noise peakTHI1 is the first thresholdTHI2 is the second thresholdA maximum point value located in a signal changing its direction in the specified time interval is defined as a peak[18]. SP1 is the already established peak by the algorithm. Any other peak not related to QRS is NP1, the noise peak.•Q and S peakQRS complex begins at the onset of Q peak and ends at the offset of S peak. The Q and S peaks have to de determined to obtain the onset and offset of the QRS complex.The R peak is taken as the initial reference point and search windows of 150 millisecond are established on either side of it.Q fiducial point lies to the left of the R peak. The search window looks for the highest minimum or negative point. This is Q peak. Similarly, S fiducial point is obtained with a search window to find the highest minimum or negative point to the right of R peak. Q onset is located with a search window starting at Q peak and moving towards the left to find the lowest minimum or negative point.The QRS points with Q onset are shown in Figure(9).•T peak and offset detectionT peak is the second maximum peak in the ECG signal. A search window is initiated after 20 milliseconds to the right of the R peak and is terminated at 100 milliseconds after the R peak. The maximum amplitude point is estimated and located as T peak.Detection of T offset is tried by establishing a search window from the T peak to the right. The least maximum value in the window width is the T offset point.II.Wavelet DecompositionIt is the second method tried in ECG feature extraction. The signal is down sampled in this process. This helps in preservation of the QRS complex. This is achieved with the ‘wavedec’ function in the wavelet toolbox in MATLAB.The signal is decomposed by four levels. The first level of decomposition reduces the number of samples by one-fourth of its original value. The second level will have half the number of samples of the first level. The third level will have half the number of samples of the second level. The fourth level will have half the number of samples of the third level. The decomposed signals are essentially free from interference[23]. The four levels of decomposition are shown in Figure(9).Next step is detection of R peak in the synthesized signal. Since the signal is noise free, a value 60% greater then the maximum of the actual signal must be detected. However, after estimation of R peak in the decomposed signal, its value in the original signal must also be estimated as the signal is downsampled. The R peak is not a single impulse peak. This may result in two or more points which satisfy the criteria. Other unwanted points in the proximity of R peak must be eliminated. This is achieved by finding the R peaks that are at a distance of 10 samples from each other. Once an optimum R peak is detected, it must be multiplied by four due to its decomposition. A search window of +/- 20 samples must be established in the original signal to obtain the actual R peak based on the one detected in the downsampled signal[23].The result of this can be seen in Figure(10).Once the R peak is detected in the original signal, other peaks can be located by establishing search windows on either side of the R peak. Search windows are selected based on their position from the R peak.•A search window initiating after 10 samples and terminating at 100 samples is implemented to the left of R peak. This window searches for the highest minimum or negative point. This point is Q peak.•The onset of Q wave is established by creating a search window of 20 samples to the left of Q peak. The least minimum value point is searched which gives the onset point of Q wave.•Similarly, a search window initiating after 25 samples and terminating at 100 samples to the right of the R peak is established. This window provides the T peak by locating the highest positive point.•The T offset is located with a search window initiating at T peak and terminating after 20 samples to the right of the peak.4.RESULTSFigure 3Figure 4Figure 5Figure 6Figure 7Figure 8Figure 9Figure 10。