Multi-purpose ECG telemetry system

BackgroundThe Electrocardiogram ECG is one of the most important non-invasive tools for cardiac diseases diagnosis. Taking advantage of the developed telecommunication infrastructure, several approaches that address the development of telemetry cardiac devices were introduced recently. Telemetry ECG devices allow easy and fast ECG monitoring of patients with suspected cardiac issues. Choosing the right device with the desired working mode, signal quality, and the device cost are still the main obstacles to massive usage of these devices.MethodsIn this paper, we introduce design, implementation, and validation of a multi-purpose telemetry system for recording, transmission, and interpretation of ECG signals in different recording modes. The system consists of an ECG device, a cloud-based analysis pipeline, and accompanied mobile applications for physicians and patients. The proposed ECG device’s mechanical design allows laypersons to easily record post-event short-term ECG signals, using dry electrodes without any preparation. Moreover, patients can use the device to record long-term signals in loop and holter modes, using wet electrodes. In order to overcome the problem of signal quality fluctuation due to using different electrodes types and different placements on subject’s chest, customized ECG signal processing and interpretation pipeline is presented for each working mode.ResultsWe present the evaluation of the novel short-term recorder design. Recording of an ECG signal was performed for 391 patients using a standard 12-leads golden standard ECG and the proposed patient-activated short-term post-event recorder. In the validation phase, a sample of validation signals followed peer review process wherein two experts annotated the signals in terms of signal acceptability for diagnosis.We found that 96% of signals allow detecting arrhythmia and other signal’s abnormal changes. Additionally, we compared and presented the correlation coefficient and the automatic QRS delineation results of both short-term post-event recorder and 12-leads golden standard ECG recorder.ConclusionsThe proposed multi-purpose ECG device allows physicians to choose the working mode of the same device according to the patient status. The proposed device was designed to allow patients to manage the technical requirements of both working modes. Post-event short-term ECG recording using the proposed design provide physicians reliable three ECG leads with direct symptom-rhythm correlation.

[1]  E. Delgado,et al.  Recognition of cardiac arrhythmias by means of beat clustering on ECG-holter records , 2007, 2007 Computers in Cardiology.

[2]  Feng Xia,et al.  iCare: A Mobile Health Monitoring System for the Elderly , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[3]  Fernando Seoane,et al.  Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System , 2014, Sensors.

[4]  Carsten Peterson,et al.  Clustering ECG complexes using Hermite functions and self-organizing maps , 2000, IEEE Trans. Biomed. Eng..

[5]  P. Laguna,et al.  ECG data compression with the Karhunen-Loeve transform , 1996, Computers in Cardiology 1996.

[6]  H Kumpusch,et al.  Near Field Communication-based telemonitoring with integrated ECG recordings , 2011, Applied Clinical Informatics.

[7]  R. Hegazy,et al.  The value of Holter monitoring in the assessment of Pediatric patients , 2007, Indian pacing and electrophysiology journal.

[8]  W. J. Tompkins,et al.  Estimation of QRS Complex Power Spectra for Design of a QRS Filter , 1984, IEEE Transactions on Biomedical Engineering.

[9]  Rune Fensli,et al.  A wearable ECG-recording system for continuous arrhythmia monitoring in a wireless tele-home-care situation , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[10]  Bor-Shing Lin,et al.  RTWPMS: A Real-Time Wireless Physiological Monitoring System , 2006, IEEE Transactions on Information Technology in Biomedicine.

[11]  David F Dickinson,et al.  The normal ECG in childhood and adolescence , 2005, Heart.

[12]  P. Karpawich,et al.  Ambulatory arrhythmia screening in symptomatic children and young adults: Comparative effectiveness of holter and telephone event recordings , 1993, Pediatric Cardiology.

[13]  G. Divine,et al.  Incremental diagnostic yield of loop electrocardiographic recorders in unexplained syncope. , 1990, The American journal of cardiology.

[14]  Lazar Saranovac,et al.  Algorithm for EMG noise level approximation in ECG signals , 2017, Biomed. Signal Process. Control..

[15]  Anas Albulbul,et al.  Evaluating Major Electrode Types for Idle Biological Signal Measurements for Modern Medical Technology , 2016, Bioengineering.

[16]  G D Clifford,et al.  Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms , 2012, Physiological measurement.

[17]  Pablo Laguna,et al.  A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.

[18]  P. Brugada,et al.  First experience of monitoring with cardiac event recorder electrocardiography Omron system in childhood population for sporadic, potentially arrhythmia-related symptoms. , 2011, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[19]  Seulki Lee,et al.  A Wearable ECG Acquisition System With Compact Planar-Fashionable Circuit Board-Based Shirt , 2009, IEEE Transactions on Information Technology in Biomedicine.

[20]  Dieter Hayn,et al.  Improving telemonitoring of heart failure patients with NFC technology , 2007 .

[21]  G. Breithardt,et al.  Prospective, multicentre validation of a simple, patient-operated electrocardiographic system for the detection of arrhythmias and electrocardiographic changes. , 2009, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[22]  P. Zimetbaum,et al.  Ambulatory arrhythmia monitoring: choosing the right device. , 2010, Circulation.

[23]  Mohd Fikry Abdul Karim,et al.  Integration of near field communication (NFC) and Bluetooth technology for medical data acquisition system , 2006 .

[24]  P. Macfarlane,et al.  Recommendations for standardization and specifications in automated electrocardiography: bandwidth and digital signal processing. A report for health professionals by an ad hoc writing group of the Committee on Electrocardiography and Cardiac Electrophysiology of the Council on Clinical Cardiology, , 1990, Circulation.

[25]  Wen-Chung Yu,et al.  Utility of Patient-Activated Cardiac Event Recorders in the Detection of Cardiac Arrhythmias , 2003, Journal of Interventional Cardiac Electrophysiology.

[26]  Ary Goldberger,et al.  Diagnostic Yield and Optimal Duration of Continuous-Loop Event Monitoring for the Diagnosis of Palpitations: A Cost-Effectiveness Analysis , 1998, Annals of Internal Medicine.

[27]  Yu-Te Wang,et al.  Development of a Wearable Mobile Electrocardiogram Monitoring System by Using Novel Dry Foam Electrodes , 2014, IEEE Systems Journal.

[28]  P W Macfarlane,et al.  Effects of age, sex, and race on ECG interval measurements. , 1994, Journal of electrocardiology.

[29]  Christiane,et al.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2004, Journal international de bioethique = International journal of bioethics.

[30]  Emil Jovanov,et al.  Issues in wearable computing for medical monitoring applications: a case study of a wearable ECG monitoring device , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[31]  Hein Heidbuchel,et al.  Electrocardiographic interpretation in athletes: the ‘Seattle Criteria’ , 2013, British Journal of Sports Medicine.

[32]  G. Cataldo,et al.  A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[33]  José Luis Rojo-Álvarez,et al.  A Flexible 12-Lead/Holter Device with Compression Capabilities for Low-Bandwidth Mobile-ECG Telemedicine Applications , 2018, Sensors.

[34]  Nicola Fox,et al.  Cardiovascular system. , 2007, Nursing Standard.

[35]  J. Webster,et al.  Dry electrodes for electrocardiography , 2013, Physiological measurement.

[36]  G. Moody,et al.  QRS morphology representation and noise estimation using the Karhunen-Loeve transform , 1989, [1989] Proceedings. Computers in Cardiology.

[37]  J. van Alsté,et al.  Removal of Base-Line Wander and Power-Line Interference from the ECG by an Efficient FIR Filter with a Reduced Number of Taps , 1985, IEEE Transactions on Biomedical Engineering.

[38]  Tara K. Hipp,et al.  Comparison of ECG Signal Quality Between a Novel Dry Electrode and a Standard Gel Electrode: 1722 , 2006 .

[39]  Richard G Trohman,et al.  Single-lead portable ECG devices: Perceptions and clinical accuracy compared to conventional cardiac monitoring. , 2015, Journal of electrocardiology.

[40]  R G Mark,et al.  Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter , 2008, Physiological measurement.

[41]  Wolzt,et al.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2003, The Journal of the American College of Dentists.

[42]  Leslie Tung,et al.  A novel algorithm for cardiac biosignal filtering based on filtered residue method , 2002, IEEE Transactions on Biomedical Engineering.

[43]  B. Chaitman,et al.  The Electrocardiogram and the Athlete , 1984, Sports medicine.

[44]  B. Drew,et al.  Factors to consider when analyzing 12-lead electrocardiograms for evidence of acute myocardial ischemia. , 2003, American journal of critical care : an official publication, American Association of Critical-Care Nurses.