New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model

Medical Engineering and Physics

Volumn 35, Issue 8, 2013, Pages 1105-1115

  Madeiro, João P V ^a,b   Nicolson, William B ^b   Cortez, Paulo C ^a   Marques, João A L ^c   Vázquez Seisdedos, Carlos R ^d   Elangovan, Narmadha ^b   Ng, G Andre ^b   Schlindwein, Fernando S ^b  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c University Lusiada of Angola   (Angola)

^d UNIVERSIDAD DE ORIENTE   (Cuba)

Author keywords

Cross correlation; Paced electrocardiogram (paced ECG); Skewed Gaussian function; T wave end; T wave modelling; T wave peak

Indexed keywords

CROSS CORRELATIONS; GAUSSIAN FUNCTIONS; PACED ELECTROCARDIOGRAM (PACED ECG); T-WAVE END; T-WAVE PEAK;

CHEMICAL DETECTION; DATABASE SYSTEMS; ELECTROCARDIOGRAPHY; FUNCTIONS; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS;

SIGNAL DETECTION;

ACCURACY; ARTICLE; ELECTROCARDIOGRAM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEASUREMENT ERROR; NORMAL DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; QRS COMPLEX; SIGNAL DETECTION; T WAVE; T WAVE DETECTION; T WAVE PEAK; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CARDIOMYOPATHIES; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; HEART RATE; HUMAN; MYOCARDIAL ISCHEMIA; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CARDIOMYOPATHIES; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; MYOCARDIAL ISCHEMIA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879029951     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2012.11.007     Document Type: Article

References (30)

1. Madeiro J.P.V., Cortez P.C., Marques J.A.L., Seisdedos C.R.V., Sobrinho C.R.M.R. An innovative approach of QRS segmentation based on first-derivative, Hilbert and wavelet transforms. Med Eng Phys 2012, 34:1236-1246.
2. Nicolson W.B., McCann G.P., Brown P.D., Sandilands A.J., Stafford P.J., Schlindwein F.S., et al. A novel surface electrocardiogram based marker of ventricular arrhythmia risk in patients with ischemic cardiomyopathy. J Am Heart Assoc 2012, 1(4):1-10. 10.1161/JAHA.112.001552.
3. Hsing J.M., Selzman K.A., Leclercg C., Pires L.A., McLaughlin M.G., McRae S.E., et al. Paced left ventricular QRS width and ECG parameters predict outcomes after cardiac resynchronization therapy: PROSPECT-ECG substudy. Circ Arrhythm Electrophysiol 2011, 4(6):851-857.
4. Vázquez-Seisdedos C.R., Neto J.E., Reyes E.J.M., Klautau A., Oliveira R.C.L. New approach for T-wave end detection on electrocardiogram: performance in noisy conditions. Biomed Eng Online 2011, 10(77):1-11.
5. Bloomfield D.M., Steinman R.C., Namerow P.B., Parides M., Davidenko J., Kaufman E.S., et al. Microvolt T-wave alternans distinguishes between patients likely and patients not likely to benefit from implanted cardiac defibrillator therapy: a solution to the multicenter automatic defibrillator trial (MADIT) II conundrum. Circulation 2004, 110:1885-1889.
6. van der Avoort C.J., Filion K.B., Dendukuri N., Brophy J.M. Microvolt T-wave alternans as a predictor of mortality and severe arrhythmias in patients with left-ventricular dysfunction: a systematic review and meta-analysis. BMC Cardiovasc Disord 2009, 9(5):1-9.
7. Lee K.W., Okin P.M., Kligfield P., Stein K.M., Lerman B.B. Precordial QT dispersion and inducible ventricular tachycardia. Am Heart J 1997, 134(6):1005-1013.
8. Oikarinen L., Nieminen M.S., Viitasalo M., Toivonen L., Jern S., Dahlöf B., et al. QRS duration and QT interval predict mortality in hypertensive patients with left ventricular hypertrophy: the losartan intervention for endpoint reduction in hypertension study. Hypertension 2004, 43:1029-1034.
9. Vila J.A., Gang Y., Presedo J.M.R., Delgado M.F., Barro S., Malik M. A new approach for TU complex characterization. IEEE Trans Biomed Eng 2000, 47(6):764-772.
10. Murray A., McLaughlin N.B., Bourke J.P., Doig J.C., Furniss S.S., Campbell R.W. Errors in manual measurement of QT intervals. Br Heart J 1994, 71:386-390.
11. Zhang Q., Manriquez A.I., Médigue C., Papelier Y., Sorine M. An algorithm for robust and efficient location of T-wave ends in electrocardiograms. IEEE Trans Biomed Eng 2006, 53(12):2544-2552.
12. Yana K., Shichiku H., Satoh T., Mizuta H., Ono T. An improved QT interval measurement based on singular value decomposition. Proceedings of the 28th IEEE EMBS Annual International Conference 2006.
13. Zong W., Saeed M., Heldt T. A QT interval detection algorithm based on ECG curve length transform. Comput Cardiol 2006, 33:377-380.
14. Meste O., Janusek D., Kania M., Maniewski R. T waves segmentation and analysis using inverse normalized integrals. 33rd Annual International Conference of the IEEE EMBS 2011.
15. Martínez J.P., Almeida R., Olmos S., Rocha A.P., Laguna P. A wavelet-based ECG delineator: evaluation on standard databases. IEEE Trans Biomed Eng 2004, 51(4):570-581.
16. Madeiro J.P.V., Cortez P.C., Oliveira F.I., Siqueira R.S. A new approach to QRS segmentation based on wavelet bases and adaptive threshold technique. Med Eng Phys 2007, 29:26-37.
17. Martínez A., Alcaraz R., Rieta J.J. Application of the phasor transform for automatic delineation of single-lead ECG fiducial points. Physiol Meas 2010, 31:1467-1485.
18. Ghaffari A., Homaeinezhad M.R., Akraminia M., Atarod M., Daevaeiha M. A robust wavelet-based multi-lead electrocardiogram delineation algorithm. Med Eng Phys 2009, 31:1219-1227.
19. Almeida R., Martínez J.P., Rocha A.P., Laguna P. Multilead ECG delineation using spatially projected leads from wavelet transform loops. IEEE Trans Biomed Eng 2009, 56(8):1996-2005.
20. Christov I., Simova I. Q-onset and T-end delineation: assessment of the performance of an automated method with the use of a reference database. Physiol Meas 2007, 28:213-221.
21. The CSE Working Party Recommendations for measurement standards in quantitative electrocardiography. Eur Heart J 1985, 6:815-825.
22. Last T., Nugent C.D., Owens F.J. Multi-component based cross-correlation beat detection in electrocardiogram analysis. Biomed Eng Online 2004, 03(26):1-14.
23. Richardson J., Haywood L.J., Murthy V.K., Harvey G. A mathematical model for ECG wave forms and power spectra. Math Biosci 1971, 12:321-328.
24. Wohlfart B. A simple model for demonstration of STT-changes in ECG. Eur Heart J 1987, 8:409-416.
25. Malik M., Camm A.J. Computer model of cardiac repolarization processes and of the recovery sequence. Comput Biomed Res 1989, 22:160-180.
26. Padrini R., Butrous G., Camm A.J., Malik M. Algebraic decomposition of the TU wave morphology patterns. PACE 1995, 18:2209-2215.
27. Laguna P., Mark R., Goldberger A., Moody G.B. A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG. Comput Cardiol 1997, 24:295-298.
28. Ibañez A. The ECG T-wave duration as an index of dispersion of ventricular repolarization: insights from simulations. Comput Cardiol 2006, 33:793-796.
29. Arini P., Valverde E., Beltran G., Laguna P. Quantification of ventricular repolarization dispersion on the electrocardiogram by means of T wave duration. Comput Cardiol 2004, 31:757-760.
30. Mincholé A., Martínez J.P., Arini P., Risk M., Laguna P. T wave width alterations during valsalva maneuver in diabetic patients. Comput Cardiol 2006, 33:709-712.