Improved robust T-wave alternans detectors

Medical and Biological Engineering and Computing

Volumn 53, Issue 4, 2015, Pages 361-370

  Meste, O ^a   Janusek, D ^b   Karczmarewicz, S ^c   Przybylski, A ^d   Kania, M ^b   Maciag, A ^d   Maniewski, R ^b  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

^c Medtronic Poland   (Poland)

^d INSTITUTE OF CARDIOLOGY   (Poland)

Author keywords

Detector; Electrocardiography; T wave alternans; Ventricular arrhythmia

Indexed keywords

DEFIBRILLATORS; DETECTORS; ELECTROCARDIOGRAPHY; GAUSSIAN NOISE (ELECTRONIC); IMPLANTABLE CARDIOVERTER DEFIBRILLATORS; INTELLIGENT SYSTEMS; SATELLITE COMMUNICATION SYSTEMS; SPECTROSCOPY; TESTING;

FALSE ALARM PROBABILITY; GENERALIZED LIKELIHOOD RATIO TEST; OPTIMAL DETECTION; PROBABILITY OF DETECTION; SIMULATION FRAMEWORK; T WAVE ALTERNANS; VENTRICULAR ARRHYTHMIAS; VENTRICULAR PACING;

MONTE CARLO METHODS;

ACTION POTENTIAL DURATION; ADULT; ARRHYTHMIA DETECTOR; ARTICLE; CARDIAC RESYNCHRONIZATION THERAPY; CLINICAL ARTICLE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; FEMALE; FREQUENCY ANALYSIS; HEART VENTRICLE FIBRILLATION; HUMAN; IMPLANTABLE CARDIOVERTER DEFIBRILLATOR; INTERMETHOD COMPARISON; KERNEL METHOD; MALE; MATHEMATICAL ANALYSIS; MIDDLE AGED; MONTE CARLO METHOD; NOISE MEASUREMENT; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIGNAL NOISE RATIO; T WAVE; T WAVE ALTERNAN; AGED; ARRHYTHMIAS, CARDIAC; ELECTROCARDIOGRAPHY; ELECTRODE; PATHOPHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

AGED; ARRHYTHMIAS, CARDIAC; DEFIBRILLATORS, IMPLANTABLE; ELECTROCARDIOGRAPHY; ELECTRODES; FEMALE; HUMANS; MALE; MIDDLE AGED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84925507085     PISSN: 01400118     EISSN: 17410444     Source Type: Journal    
DOI: 10.1007/s11517-015-1243-5     Document Type: Article

References (38)

1. El-Sherif N, Khan A, Savarese J, Turitto G (2010) Pathophysiology, risk stratification, and management of sudden cardiac death in coronary artery disease. Cardiol J 17(1):4
2. Christiaans I, Van Engelen K, Van Langen IM, Birnie E, Bonsel GJ, Elliott PM et al (2010) Risk stratification for sudden cardiac death in hypertrophic cardiomyopathy: systematic review of clinical risk markers. Europace 12(3):313–321
3. Sastry AP, Narayan SM (2010) Advanced signal processing applications of the ECG: T-wave alternans, heart rate variability, and the signal averaged ECG. In: Goldberger JJ, Ng J (eds) Practical signal and image processing in clinical cardiology. Spinger, London, pp 347–378
4. Toure A, Cabo C (2012) Effect of heterogeneities in the cellular microstructure on propagation of the cardiac action potential. Med Biol Eng Comput 50(8):813–825
5. Selvaraj RJ, Picton P, Nanthakumar K, Mak S, Chauhan VS (2007) Endocardial and epicardial repolarization alternans in human cardiomyopathy: evidence for spatiotemporal heterogeneity and correlation with body surface T-wave alternans. J Am Coll Cardiol 49(3):338–346
6. Pastore JM, Girouard SD, Laurita KR, Akar FG, Rosenbaum DS (1999) Mechanism linking T-wave alternans to the genesis of cardiac fibrillation. Circulation 99(10):1385–1394
7. Qu Z, Xie Y, Garfinkel A, Weiss JN (2010) T-wave alternans and arrhythmogenesis in cardiac diseases. Front Physiol 1(154):1–15
8. Verrier RL, Klingenheben T, Malik M, El-Sherif N, Exner DV, Hohnloser SH et al (2011) Microvolt T-wave alternans: physiological basis, methods of measurement, and clinical utility-consensus guideline by international society for Holter and noninvasive electrocardiology. J Am Coll Cardiol 58(13):1309–1324
9. Naseri H, Pourkhajeh H, Homaeinezhad M (2013) A unified procedure for detecting, quantifying, and validating electrocardiogram T-wave alternans. Med Biol Eng Comput 51(9):1031–1042
10. Arini PD, Baglivo FH, Martinez JP, Laguna P (2014) Evaluation of ventricular repolarization dispersion during acute myocardial ischemia: spatial and temporal ECG indices. Med Biol Eng Comput 52:375–391
11. Amit G, Rosenbaum DS, Super DM, Costantini O (2010) Microvolt T-wave alternans and electrophysiologic testing predict distinct arrhythmia substrates: implications for identifying patients at risk for sudden cardiac death. Heart Rhythm 7(6):763–768
12. Nearing BD, Huang AH, Verrier RL (2002) Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy. J Appl Physiol 92:541–549
13. Ghanem RN, Zhou X (2010) Detection of T-Wave alternans phase reversal for arrhythmia prediction and sudden cardiac death risk stratification. Google Patents
14. Narayan SM, Smith JM, Schechtman KB, Lindsay BD, Cain ME (2005) T-wave alternans phase following ventricular extrasystoles predicts arrhythmia-free survival. Heart Rhythm 2(3):234–241
15. Janusek D, Kania M, Zaczek R, Zavala-Fernandez H, Maniewski R (2014) A simulation of T-wave alternans vectocardiographic representation performed by changing the ventricular heart cells action potential duration. Comput Methods Programs Biomed 114(1):102–108
16. Takasugi N, Kubota T, Nishigaki K, Verrier RL, Kawasaki M, Takasugi M et al (2011) Should T-wave alternans magnitude be corrected with T-wave amplitude in the ultra-short-term prediction of life-threatening cardiac arrhythmias? Europace 13(10):1512–1513
17. Janusek D, Fereniec M, Kania M, Kepski R, Maniewski R (2007) Spatial distribution of T-wave alternans. In: Computers in cardiology. IEEE, pp 721–723
18. Nakai K, Takahashi S, Suzuki A, Hagiwara N, Futagawa K, Shoda M et al (2011) Novel algorithm for identifying T-wave current density alternans using synthesized 187-channel vector-projected body surface mapping. Heart Vessels 26(2):160–167
19. Minkkinen M, Kahonen M, Viik J, Nikus K, Lehtimaki T, Lehtinen R et al (2009) Enhanced predictive power of quantitative TWA during routine exercise testing in the Finnish Cardiovascular Study. J Cardiovasc Electrophysiol 20(4):408–415
20. Dorenkamp M, Breitwieser C, Morguet AJ, Seegers J, Behrens S, Zabel M (2011) T-wave alternans testing in pacemaker patients: comparison of pacing modes and long-term prognostic relevance. Pacing Clin Electrophysiol 34(9):1054–1062
21. Shusterman V, London B (2012) Surge of T-wave alternans in the absence of heart-rate acceleration: A new predictor of sustained ventricular tachyarrhythmias in patients with low ejection fraction? Heart Rhythm 9(11):1920
22. Li-na R, Xin-hui F, Li-dong R, Jian G, Yong-quan W, Guo-xian Q (2012) Ambulatory ECG-based T-wave alternans and heart rate turbulence can predict cardiac mortality in patients with myocardial infarction with or without diabetes mellitus. Cardiovasc Diabetol 11:104
23. Sakaki K, Ikeda T, Miwa Y, Miyakoshi M, Abe A, Tsukada T et al (2009) Time-domain T-wave alternans measured from Holter electrocardiograms predicts cardiac mortality in patients with left ventricular dysfunction: a prospective study. Heart Rhythm 6(3):332–337
24. Janusek D, Kania M, Zaczek R, Zavala-Fernandez H, Zbiec A, Opolski G et al (2011) Application of wavelet based denoising for T-wave alternans analysis in high resolution ECG maps. Meas Sci Rev 11(6):181–184
25. Martinez JP, Olmos S (2002) A robust T wave alternans detector based on the GLRT for Laplacian noise distribution. In: Computers in cardiology. IEEE, pp 677–680
26. Meste O, Janusek D, Maniewski R (2007) Analysis of the T wave alternans phenomenon with ECG amplitude modulation and baseline wander. In: Computers in cardiology. IEEE, pp 565–568
27. Nearing BD, Huang AH, Verrier RL (1991) Dynamic tracking of cardiac vulnerability by complex demodulation of the T wave. Science 252(5004):437
28. Rosenbaum DS, Jackson LE, Smith JM, Garan H, Ruskin JN, Cohen RJ (1994) Electrical alternans and vulnerability to ventricular arrhythmias. N Engl J Med 330(4):235–241
29. Zareba W, Badilini F, Moss AJ (1995) Automatic detection of non-visible T-wave alternans from three-channel Holter recordings. J Am Coll Cardiol 25(2):409A
30. Janusek D, Pawlowski Z, Maniewski R (2007) Evaluation of the T-wave alternans detection methods: a simulation study. Anatol J Cardiol 7(Suppl 1):116–119
31. Srikanth T, Lin D, Kanaan N, Gu H (2002) Presence of T-wave alternans in the statistical context. A new approach to low amplitude alternans measurement. In: Computers in cardiology. IEEE
32. Martinez JP, Olmos S (2005) Methodological principles of T wave alternans analysis: a unified framework. IEEE Trans Biomed Eng 52(4):599–613
33. Meste O, Janusek D, Kania M (2012) A new robust T wave alternans detector and its threshold optimization. A new robust T wave alternans detector and its threshold optimization. In: Computers in cardiology. IEEE, pp 425–428
34. Pan J, Tompkins WJ (1985) A real-time QRS detection algorithm. IEEE Trans Biomed Eng 3:230–6
35. Burattini L, Zareba W, Rashba EJ, Couderc JP, Konecki J, Moss AJ (1998) ECG features of microvolt T-wave alternans in coronary artery disease and long QT syndrome patients. J Electrocardiol 31(Suppl):114–120
36. Meyer C, Keiser H (1977) Electrocardiogram baseline noise estimation and removal using cubic splines and state-space computation techniques. Comput Biomed Res 10(5):459–470
37. Bazett H (2006) An analysis of the time-relations of electrocradiograms. Ann Noninvasive Electrocardiol 2(2):177–194
38. DeLong E, DeLong D, Clarke-Pearson D (1988) Comparing the areas under 2 or more correlated receiver operating characteristic curves—a nonparametric approach. Biometrics 44(3):837–845