A time-domain hybrid analysis method for detecting and quantifying T-wave alternans

Computational and Mathematical Methods in Medicine

Volumn 2014, Issue , 2014, Pages

  Wan, Xiangkui ^a   Yan, Kanghui ^b   Zhang, Linlin ^c   Zeng, Yanjun ^c  

^a HUBEI UNIVERSITY OF TECHNOLOGY   (China)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^c BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; LEAST SQUARES APPROXIMATIONS;

BASELINE WANDERING; ELECTRICAL INSTABILITY; HYBRID ANALYSIS METHOD; LEAST SQUARES REGRESSION; PHASE REVERSAL; T WAVE ALTERNANS; TIME VARYING; VENTRICULAR ARRHYTHMIAS;

TIME DOMAIN ANALYSIS;

ANALYTIC METHOD; ARTICLE; CARDIOVASCULAR RISK; CLINICAL ARTICLE; DISEASE MARKER; ECG ABNORMALITY; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY; ELECTROCARDIOGRAPHY MONITORING; GOLD STANDARD; HEART INFARCTION; HEART VENTRICLE ARRHYTHMIA; HEART VENTRICLE HYPERTROPHY; HEART VENTRICLE TACHYCARDIA; HUMAN; QRS COMPLEX; RANK SUM TEST; SUDDEN CARDIAC DEATH; T WAVE; T WAVE ALTERNAN; T WAVE AMPLITUDE; TIME DOMAIN HYBRID ANALYSIS METHOD; ALGORITHM; ARRHYTHMIAS, CARDIAC; COMPUTER PROGRAM; PATHOPHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; SIGNAL PROCESSING; STATISTICAL MODEL; TIME;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; DEATH, SUDDEN, CARDIAC; ELECTROCARDIOGRAPHY; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; TIME FACTORS;

EID: 84899565938     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2014/502981     Document Type: Article

References (19)

1. Adam D. R., Akselrod S., Cohen R. J., Estimation of ventricular vulnerability to fibrillation through T-wave time series analysis. Computing in Cardiology 1981 8 307 310
2. Smith J. M., Clancy E. A., Valeri C. R., Ruskin J. N., Cohen R. J., Electrical alternans and cardiac electrical instability. Circulation 1988 77 1 110 121 2-s2.0-0023928342
3. Nearing B. D., Huang A. H., Verrier R. L., Dynamic tracking of cardiac vulnerability by complex demodulation of the T wave. Science 1991 252 5004 437 440 2-s2.0-0025801015
4. Laguna P., Ruiz M., Moody G. B., Repolarization alternans detection using the KL transform and the beatquency spectrum. Computing in Cardiology 1996 23 673 676
5. Nearing B. D., Verrier R. L., Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy. Journal of Applied Physiology 2002 92 2 541 549 2-s2.0-0036090028
6. Burattini L., Zareba W., Moss A. J., Correlation method for detection of transient T-wave alternans in digital holter ECG recordings. Annals of Noninvasive Electrocardiology 1999 4 4 416 424 2-s2.0-0033430410
7. Burattini L., Bini S., Burattini R., Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans. Medical Engineering and Physics 2009 31 10 1290 1298 2-s2.0-70449532189 10.1016/j.medengphy.2009.08.009
8. Monasterio V., Laguna P., Martínez J. P., Multilead analysis of T-wave alternans in the ecg using principal component analysis. IEEE Transactions on Biomedical Engineering 2009 56 7 1880 1890 2-s2.0-67650868981 10.1109/TBME.2009.2015935
9. Martínez J. P., Olmos S., Methodological principles of T wave alternans analysis: a unified framework. IEEE Transactions on Biomedical Engineering 2005 52 599 613
10. Burattini L., Zareba W., Burattini R., Automatic detection of microvolt T-wave alternans in Holter recordings: effect of baseline wandering. Biomedical Signal Processing and Control 2006 1 2 162 168 2-s2.0-33751051806 10.1016/j.bspc.2006.05.005
11. Burattini L., Zareba W., Burattini R., Adaptive match filter based method for time vs. amplitude characterization of microvolt ECG T-wave alternans. Annals of Biomedical Engineering 2008 36 9 1558 1564 2-s2.0-49149122437 10.1007/s10439-008-9528-6
12. Meyer C. R., Keiser H. N., Electrocardiogram baseline noise estimation and removal using cubic splines and state-space computation techniques. Computers and Biomedical Research 1977 10 5 459 470 2-s2.0-0017695924 10.1016/0010-4809(77)90021-0
13. Martínez J. P., Almeida R., Olmos S., Rocha A. P., Laguna P., A wavelet-based ECG delineator evaluation on standard databases. IEEE Transactions on Biomedical Engineering 2004 51 4 570 581 2-s2.0-12144285744 10.1109/TBME.2003.821031
14. Narayan S. M., Smith J. M., Spectral analysis of periodic fluctuations in electrocardiographic repolarization. IEEE Transactions on Biomedical Engineering 1999 46 2 203 212 2-s2.0-0032910750 10.1109/10.740883
15. Verrier R. L., Klingenheben T., Malik M., El-Sherif N., Exner D. V., Hohnloser S. H., Ikeda T., Martínez J. P., Narayan S. M., Nieminen T., Rosenbaum D. S., Microvolt T-wave alternans: physiological basis, methods of measurement, and clinical utilityconsensus guideline by international society for Holter and noninvasive Electrocardiology. Journal of the American College of Cardiology 2011 58 13 1309 1324 2-s2.0-80053008924 10.1016/j.jacc.2011.06.029
16. Martínez J. P., Olmos S., Wagner G., Laguna P., Characterization of repolarization alternans during ischemia: time-course and spatial analysis. IEEE Transactions on Biomedical Engineering 2006 53 4 701 711 2-s2.0-33645312691 10.1109/TBME.2006.870233
17. Moody G. B., The physionet / computers in cardiology challenge 2008: T-wave alternans. Computers in Cardiology 2008 35 505 508
18. Burattini L., Bini S., Burattini R., Correlation method versus enhanced modified moving average method for automatic detection of T-wave alternans. Computer Methods and Programs in Biomedicine 2010 98 1 94 102 2-s2.0-77950368492 10.1016/j.cmpb.2010.01.008
19. Burattini L., Bini S., Burattini R., Automatic microvolt T-wave alternans identification in relation to ECG interferences surviving preprocessing. Medical Engineering and Physics 2011 33 1 17 30 2-s2.0-78650968166 10.1016/j.medengphy.2010.08.014