An ANN-Based HRV classifier for cardiac health prognosis

International Journal of Electronic Healthcare

Volumn 7, Issue 4, 2014, Pages 315-330

  Sunkaria, Ramesh Kumar ^a   Kumar, Vinod ^a   Saxena, Suresh Chandra ^a   Singhal, Achala M ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b HIMALAYAN INSTITUTE HOSPITAL TRUST   (India)

Author keywords

ANN; Artificial neural network; Autonomic activity; Autoregressive model; Electrocardiogram; Electronic healthcare; Heart rate variability; HRV

Indexed keywords

ADULT; AGED; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; ELECTROCARDIOGRAPHY; FEMALE; HEART DISEASE; HEART RATE; HUMAN; MALE; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGY; SEVERITY OF ILLNESS INDEX; SIGNAL PROCESSING;

ADULT; AGED; ELECTROCARDIOGRAPHY; FEMALE; HEART DISEASES; HEART RATE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); SEVERITY OF ILLNESS INDEX; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84927173627     PISSN: 17418453     EISSN: 17418461     Source Type: Journal    
DOI: 10.1504/IJEH.2014.064332     Document Type: Article

References (28)

1. Berntson, G.G., Cacioppo, J.T. and Fieldstone, A. (1996) 'Illusions, arithmetic and the bidirectional modulation of vagal control of heart', Biological Psychology, Vol. 44, pp.1-17
2. de Chazal, P. and Reilly, R.B. (2006) 'A patient-Adapting heartbeat classifier using ECG morphology and heartbeat interval features', IEEE Transactions on Biomedical Engineering, Vol. 53, No. 12, December, pp.2535-2543
3. de Chazel, P., O' Dwyer, M. and Reilly, R.B. (2004) 'Automatic classification of heart beats using ECG morphology and heart beat interval features', IEEE Transactions on Biomedical Engineering, Vol. 51, No. 7, July, pp.1196-1206
4. Gohara, T., Mizuta, H., Takeuchi, I., Tsuda, O., Yana, K., Yanai, T., Yamamoto, Y. and Kishi, N. (1996) 'Heart rate variability change induced by the mental stress: the effect of accumulated fatigue', Proceedings of the Biomedical Engineering Conference (Fifteenth Southern), March, pp.367-369
5. Lewicke, A., Sazonov, E., Corwin, M.J., Neuman, M., Schuckers, S. and CHIME Study Group (2008) 'Sleep versus wake classification from heart rate variability using computational intelligence: Consideration of rejection in classification models', IEEE Transactions on Biomedical Engineering, Vol. 55, No. 1, January, pp.108-118
6. Lin, C-W., Wang, J-S. and Chung, P-C. (2010) 'Mining physiological conditions from heart rate variability analysis', IEEE Computational Intelligence Magazine, February, pp.50-58
7. Lucini, D., Norbiato, G., Clerici, M. and Pegani, M. (2002) 'Hemodynamic and autonomic adjustments to real life stress conditions in humans', Hypertension, Vol. 39, pp.184-188
8. Malarvili, M.B. and Mesbah, M. (2009) 'Newborn seizure detection based on heart rate variability', IEEE Transactions on Biomedical Engineering, Vol. 56, No. 11, November, pp.2594-2603
9. Malliani, A. (2000) Principles of Cardiovascular Neural Regulation in Health and Disease, Kluwer Acadmic Publishers, London, Ch. 4, pp.109-147
10. Malliani, A., Pagani, M. and Lombardi, F. (1994) 'Physiology and clinical implications of variability of cardiovascular parameters with focus on heart rate and blood pressure', American Journal of Cardiology, Vol. 73, pp.3C-9C
11. Mendez, M.O., Bianchi, A.M., Matteucci, M., Cerutti, S. and Penzel, T. (2009) 'Sleep apnea screening by autoregressive models from a single ECG lead', IEEE Transactions on Biomedical Engineering, Vol. 56, No. 12, December, pp.2838-2850
12. Mortara, A., LaRovere, M.T., Signorini, M.G., Pantaleo, P., Pinna, G., Martinelli, L., Ceconi, C., Cerutti, S. and Tavazzi, L. (1994) 'Can power spectral analysis of heart rate variability identify a high risk group of congestive heart failure patients with excessive sympathetic activation? A pilot study before and after heart transplantation', British Heart Journal, Vol. 71, pp.422-430
13. Quigley, K.S. and Berntson, G.G. (1990) 'Autonomic origins of cardiac responses to non-Signal stimuli in the rat', Behavioural Neuroscience, Vol. 104, pp.751-762
14. Robert Carter III., N., Cheuvront, S.D., Wray, W., Kolka, A.M., Stephenson, A.L. and Sawaka, M.N. (2006) 'The influence of hydration status on heart rate variability after exercise heat stress', Journal of Thermal Biology, Vol. 30, May, pp.495-502
15. Sarwal, A. and Dhawan, A.P. (2001) 'Three dimensional reconstruction of coronary arteries from two views', Computer Methods and Programs in Biomedicine, Vol. 65, pp.25-43.
16. Schumann, A., Wessel, N., Schirdewan, A., Osterziel, K.J. and Voss, A. (2002) 'Potential of feature selection methods in heart rate variability analysis for the classification of different cardiovascular diseases', Statistics in Medicine, Vol. 21, pp.2225-2245
17. Song, Q., Teoh, E.K. and Mital, D.P. (1995) 'Multilayered neural network implementation on transputer systolic array', Micruprocessing and Microprogramming, Vol. 41, pp.289-299
18. Suknaria, R.K., Saxena, S.C., Kumar, V. and Singhal, A.M. (2010) 'Wavelet based R-Peak detection for HRV studies', Journal of Medical Engineering and Technology, Vol. 34, No. 02, pp.108-115
19. Task Force of European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) 'Heart rate variability-Standards of measurement, physiological interpretation and clinical interpretation and clinical use', European Heart Journal, Vol. 17, pp.354-381
20. Travis, F., Hagga, D.A.F., Hagelin, J., Tenner, M., Nidich, S., Gaylord-King, C., Grosswald, S., Rainforth, M. and Schneider, R.H. (2008) 'Effect of transcendental meditation practice on brain functioning and stress reactivity in college students', International Journal of Psychophysiology, Vol. 71, No. 2, February, pp.170-176
21. Wang, F., Sanawa, K. and Inooka, H. (1998) 'Time domain heart rate variability index for assessment of dynamic stress', Computers in Cardiology, Vol. 25, pp.97-100
22. Zaza, A. and Lombardi, F. (2001) 'Autonomic indexes based on the analysis of heart rate variabilty: A view from the sinus node', Cardiovascular Research, Vol. 50, pp.434-442
23. Akaike, H. (1974) 'A new look at the statistical model identification', IEEE Transactions Autom. Contr., AC-19, pp.716-723
24. Aurelien, P., Manuel, R., Sophie, A.J., Claire de, B. and Andre, D. (2006) 'Spectral analysis of heart rate variability: Interchangeability between autoregressive analysis and fast Fourier transform', Journal of Electrocardiology, Vol. 39, pp.31-37
25. Baselli, G., Bolis, D., Ceruti, S. and Freschi, C. (1985) 'Autoregressive modeling and power spectral estimate of R-R interval time series in arrhythmic patients', Computers and Biomedical Research, Vol. 18, pp.510-530
26. Baselli, G., Cerutti, S., Civardi, S., Liberati, D., Lombardi, F., Malliani, A. and Pagani, M. (1986) 'Spectral and cross-Spectral analysis of Heart rate and arterial blood pressure variability signals', Computers and Biomedical Research, Vol. 19, pp.520-534
27. Carvalho, J.L.A., Rocha, A.F., dos Santos, I., Itoki, C., Junqueira, L.F. and Nascimento, F.A.O. (2003) 'Study on the optimal order for the auto-regressive time frequency analysis of heart rate variability', 25th Annual International Conference of the IEEE EMBS, Vol. 3, September, pp.2621-2624
28. Ifeachor, E.C. and Jervis, B.W. (2004) Digital Signal Processing, A Practical Approach, 2nd ed., Pearson Education, India