Implementation of a portable device for real-time ECG signal analysis

BioMedical Engineering Online

Volumn 13, Issue 1, 2014, Pages

  Jeon, Taegyun ^a   Kim, Byoungho ^b   Jeon, Moongu ^a   Lee, Byung Geun ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b BROADCOM CORPORATION   (United States)

Author keywords

Atrial fibrillation; Embedded device; Feature extraction; Heart disease; Myocardial ischemia; Portable ECG device

Indexed keywords

ARM PROCESSORS; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DIAGNOSIS; DIGITAL FILTERS; DISEASES; ELECTROCARDIOGRAPHY; EXTRACTION; FEATURE EXTRACTION; HEART; PORTABLE EQUIPMENT; QUALITY CONTROL; SIGNAL ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; WAVELET ANALYSIS;

ATRIAL FIBRILLATION; ECG DEVICES; EMBEDDED DEVICE; HEART DISEASE; MYOCARDIAL ISCHEMIA;

BIOMEDICAL SIGNAL PROCESSING;

ARTICLE; ATRIAL FIBRILLATION; CONTROLLED STUDY; DATA BASE; DIAGNOSTIC TEST ACCURACY STUDY; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPH; HEART MUSCLE ISCHEMIA; HUMAN; PORTABLE EQUIPMENT; PRIORITY JOURNAL; REAL TIME ELECTROCARDIOGRAM; SENSITIVITY AND SPECIFICITY; SOFTWARE; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS; ALGORITHM; COMPUTER PROGRAM; ELECTROCARDIOGRAPHY; EQUIPMENT DESIGN; HEART; HEART DISEASES; PATHOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING; TELEMEDICINE;

ALGORITHMS; ATRIAL FIBRILLATION; ELECTROCARDIOGRAPHY; EQUIPMENT DESIGN; HEART; HEART DISEASES; HUMANS; MYOCARDIAL ISCHEMIA; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SUPPORT VECTOR MACHINE; TELEMEDICINE; WAVELET ANALYSIS;

EID: 84964312433     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-13-160     Document Type: Article

References (40)

1. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Judd SE, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Mackey RH, Magid DJ, Marcus GM, Marelli A, Matchar DB, McGuire DK, III ERM, Moy CS, et al.: Heart disease and stroke statistics-2014 update: a report from the American Heart Association. Circulation 2013, 129:e28-e292.
2. Levy S, Camm AJ, Saksena S, Aliot E, Breithardt G, Crijns H, Davies W, Kay N, Prystowsky E, Sutton R, Waldo A, Wyse DG: International consensus on nomenclature and classification of atrial fibrillation. Europace 2003, 5:119-122.
3. Rieta JJ, Castells F, Sánchez C, Zarzoso V, Millet J: Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans Biomed Eng 2004, 51(7):1176-1186.
4. Petrutiu S, Ng J, Nijm GM, Al-Angari HM, Swiryn S, Sahakian AV: Atrial fibrillation and waveform characterization. IEEE EngMed BiolMag 2006, 25(6):24-30.
5. Asl BM, Setarehdan SK, Mohebbi M: Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif Intell Med 2008, 44:51-64.
6. García J, Sörnmo L, Olmos S, Laguna P: Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring. IEEE Trans Biomed Eng 2000, 47(9):1195-1201.
7. Kusumoto FM: Cardiovascular Pathophysiology. Raleigh, North Carolina: Hayes Barton Press; 2004.
8. Pueyo E, Sörnmo L, Laguna P: QRS slopes for detection and characterization of myocardial ischemia. IEEE Trans Biomed Eng 2008, 55(2):468-477.
9. Ruud TS, Nielsen BF, Lysaker M, Sundnes J: A computationally efficientmethod for determining the size and location of myocardial ischemia. IEEE Trans Biomed Eng 2009, 56(2):263-272.
10. Papaloukas C, Fotiadis D, Likas A, Michalis L: An ischemia detectionmethod based on artificial neural networks. Artif Intell Med 2002, 24:167-178.
11. Goletsis Y, Papaloukas C, Fotiadis D, Likas A, Michalis L: Automated ischemic beat classification using genetic algorithms andmulticriteria decision analysis. IEEE Trans Biomed Eng 2004, 51:1717-1725.
12. Logan B, Healey J: Robust detection of atrial fibrillation for a long term telemonitoring system. In Computers in Cardiology. IEEE 2005:619-622.
13. Exarchos T, Tsipouras M, Exarchos C, Papaloukas C, Fotiadis D, Michalis L: Amethodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree. Artif Intell Med 2007, 40:187-200.
14. Kikillus N, Hammer G, Wieland S, Bolz A: Algorithmfor identifying patients with paroxysmal atrial fibrillation without appearance on the ECG. Conf Proc IEEE EngMed Biol Soc 2007, 2007:275-8.
15. Dash S, Chon K, Lu S, Raeder E: Automatic real time detection of atrial fibrillation. Ann Biomed Eng 2009, 37:1701-1709.
16. Park J, Lee S, Jeon M: Atrial fibrillation detection by heart rate variability in Poincare plot. Biomed Eng Online 2009, 8(38):1-12.
17. Park J, Pedrycz W, Jeon M: Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection. Biomed Eng Online 2012, 11(30):1-22.
18. AliveCor Heart Monitor: iPhoneECG [http://www.alivecor.com/]
19. Everist Health: CardioDefender [http://everisthealth.com/]
20. Beurer: ME 80 [http://www.beurer.com]
21. HeartrHeart: EPI Life [http://www.heartronics.com.my]
22. DailyCare BioMedical: ReadMyHeart [http://www.dcbiomed.com/webls-en-us/ReadMyHeart:V2.0.html]
23. Cardiac Designs: ECGCheck [http://www.ecgcheck.com/]
24. Dimetek: Dicare-m1C [http://www.dimetekus.com/Micro-Ambulatory-ECG-Recorder_p238.html]
25. HeartCheck: The HeartCheck PEN [http://www.theheartcheck.com/products/pen_device.html]
26. REKA Health: E100 cardiac Monitor [https://www.rekahealth.com]
27. SHL Telemedicine: Smartheart [http://www.shl-telemedicine.com/portfolio/smartheart]
28. Mortara: ELI 10mobile [http://www.mortara.com]
29. ChoiceMMed: MD100E [http://www.choicemmed.com/info.aspx?m=photo&id=537]
30. Creative Medical: PC-80 [http://www.creative-sz.com/Easy-ECG-Monitor/Easy-ECG-Monitor-PC-80A.html]
31. CONTEC Medical System: ECG80A [http://www.contecmed.com]
32. Baig MM, Gholamhosseini H, Connoly MJ: A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Med Biol Eng Comput 2013, 51:485-495.
33. Dobrev D: Review of "Analysis and application of analog electronic circuits to biomedical instrumentation" by Robert B Northrop. Biomed Eng Online 2012, 11(29):1-7.
34. Vázquez-Seisdedos CR, Neto JaE, Marañón Reyes EJ, Klautau A, Limão de Oliveira RC: New approach for T-wave end detection on electrocardiogram: performance in noisy conditions. Biomed Eng Online 2011, 10(77):1-11.
35. Poungponsri S, Yu XH: An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks. Neurocomputing 2013, 117:206-213.
36. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE: PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation 2000, 101(23):e215-e220. [Circulation Electronic Pages: http://circ.ahajournals.org/cgi/content/full/101/23/e215PMID:1085218;doi:10.1161/01.CIR.101.23.e215].
37. Chung FR: Spectral graph theory, Volume 92. USA: American Mathematical Soc.; 1997.
38. Chang CC, Lin CJ: LIBSVM: A library for support vector machines. ACMTrans Intell Syst Technol 2011, 2:27:1-27:27. Software available at [http://www.csie.ntu.edu.tw/~cjlin/libsvm]
39. Kasmacher H, Wiese S, Lahl M: Monitoring the complexity of ventricular response in atrial fibrillation. Discrete Dyn Nat Soc 2000, 4:63-89.
40. Zemaityte D, Varoneckas G, Ozeraitis E, Podlipskyte A, Valyte G, Zakarevicius L: Heart rate Poincare plots and their hemodynamic correlates: discrimination between sinus and ectopic rhythms. Biomedicine 2001, 1(2):80-89.