Assessment of ECG frequency and morphology parameters for automatic classification of life-threatening cardiac arrhythmias

Physiological Measurement

Volumn 26, Issue 5, 2005, Pages 707-723

  Krasteva, Vessela ^a   Jekova, Irena ^a  

^a CENTRE OF BIOMEDICAL ENGINEERING   (Bulgaria)

Author keywords

Automatic ECG analysis; Automatic external defibrillator; Band pass digital filtration; ECG peak detection; Non shockable and shockable arrhythmias

Indexed keywords

BANDPASS FILTERS; DEFIBRILLATORS; ELECTROCARDIOGRAPHY; HEART; PARAMETER ESTIMATION;

AUTOMATIC ELECTROCARDIOGRAM ANALYSE; AUTOMATIC EXTERNAL DEFIBRILLATOR; BAND PASS; BAND-PASS DIGITAL FILTRATION; CARDIAC ARRHYTHMIA; DIGITAL FILTRATION; ELECTROCARDIOGRAM ANALYSIS; ELECTROCARDIOGRAM PEAK DETECTION; NON-SHOCKABLE AND SHOCKABLE ARRHYTHMIA; PEAK DETECTION;

DISEASES;

ALGORITHM; AMPLITUDE MODULATION; ARTICLE; ARTIFACT; BRADYCARDIA; DATA BASE; DEFIBRILLATOR; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; ELECTROCARDIOGRAPHY; FILTER; HEART ARRHYTHMIA; HEART RATE; HEART VENTRICLE FIBRILLATION; HEART VENTRICLE TACHYCARDIA; MORPHOLOGY; NOISE; PARAMETER; PERIODICITY; PRIORITY JOURNAL; REACTION TIME; RELIABILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; SUPRAVENTRICULAR TACHYCARDIA;

EID: 23744454191     PISSN: 09673334     EISSN: 09673334     Source Type: Journal    
DOI: 10.1088/0967-3334/26/5/011     Document Type: Article

References (23)

1. Al-Fahoum A S and Howitt I 1999 Combined wavelet transformation and radial basis neural networks for classifying life-threatening cardiac arrhythmias Med. Biol. Eng. Comput. 37 566-73
2. American Heart Association (AHA) Ventricular Arrhythmia ECG Database. Emergency care Research Institute 5200 Butler Pike, Plymouth Meeting, PA 19462, USA, http://www.physionet.org/physiobank/other.shtml#ahadb
3. Barro S, Ruiz R, Cabello D and Mira J 1989 Algorithmic sequential decision-making in a frequency domain for life threatening ventricular arrhythmias and imitative artifacts: a diagnostic system J. Biomed. Eng. 11 320-8
4. Chen S 2000 A two-stage discrimination of cardiac arrhythmias using a total least squares-based prony modeling algorithm IEEE Trans. Biomed. Eng. 47 1317-26
5. Chen S, Thakor N V and Mower M M 1987 Ventricular fibrillation detection by a regression test on the autocorrelation function Med. Biol. Eng. Comput. 25 241-9
6. Clayton R H and Murray A 1999 Linear and non-linear analysis of the surface ECG during human ventricular fibrillation shows evidence of order in the underlying mechanism Med. Biol. Eng. Comput. 37 354-8
7. Clayton R H, Murray A and Campbell R W F 1994 Changes in the surface electrocardiogram during the onset of spontaneous ventricular fibrillation in man Eur. Heart J. 15 184-8
8. Denton T A, Diamond G A, Khan S S and Karagueuzan H 1992 Can the techniques of nonlinear dynamics detect chaotic behavior in electrocardiographic signals J. Electrocardiol. 24 84-90
9. IEC Committee Draft 2001 Amendment to IEC 6060 1-2-4, 2nd edn, 62D/382/DCV, 39
10. Jekova I, Dushanova J and Popivanov D 2002 Method for ventricular fibrillation detection in the external electrocardiogram using nonlinear prediction Physiol. Meas. 23 337-45
11. Jekova I and Krasteva V 2004 Real time detection of ventricular fibrillation and tachycardia Physiol. Meas. 25 1167-78
12. Kaplan D and Cohen R 1990 Is fibrillation chaos? Circ. Res 67 886-92
13. Kerber R E et al 1997 Automatic external defibrillators for public access defibrillation: recommendations for specifying and reporting arrhythmia analysis algorithm performance, incorporating new waveforms, and enhancing safety Circulation 95 1677-82
14. Khadra L, Al-Fahoum A S and Al-Nashash H 1997 Detection of life-threatening cardiac arrhythmias using the wavelet transformation Med. Biol. Eng. Comput. 35 626-32
15. Kuo S and Dillman R 1978 Computer detection of ventricular fibrillation Proc. Computers in Cardiology (Long Beach, CA: IEEE Computer Society) pp 347-9
16. Millet-Roig J, Rieta-Ibanez IJ, Vilanova E, Mocholi A and Chorro F J 1999 Time-frequency analysis of a single ECG to discriminate between ventricular tachycardia and ventricular fibrillation IEEE Comput. Cardiol. 26 711-4
17. Minami K, Nakajima H and Toyoshima T 1999 Real-time discrimination of ventricular tachyarrhythmia with Fourier-transform neural network IEEE Trans. Biomed. Eng. 46 179-85
18. MIT database URL: http://physionet.org/physiobank/database/cudbor/vfib
19. Murray A, Campbel R W F and Julian D G 1985 Characteristics of the ventricular fibrillation waveform Proc. Computers in Cardiology (Washington DC: IEEE Computer Society) pp 275-8
20. Thakor N V, Natarajan A and Tomaselli G F 1994 Multiway sequential hypothesis testing for tachyarrhythmia discrimination IEEE Trans. Biomed. Eng. 41 480-7
21. Thakor N V, Webster J G and Tompkins W J 1984 Estimation of QRS complex power spectra for design of a QRS filter IEEE Trans. Biomed. Eng. 31 702-5
22. Thakor N V, Zhu Y S and Pan K Y 1990 Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm IEEE Trans. Biomed. Eng. 37 837-43
23. Zhang X S, Zhu Y S, Thakor N V and Wang Z Z 1999 Detecting ventricular tachycardia and fibrillation by complexity measure IEEE Trans. Biomed. Eng. 46 548-55