IDENTIFICATION OF PREMATURE VENTRICULAR CONTRACTIONS OF HEART USING POINCARE PLOT PARAMETERS AND SAMPLE ENTROPY

作者: M. A. Haque , A. H. M. Z. Karim , M. M. Rhaman

DOI:

关键词:

摘要: Premature ventricular contractions (PVC) are premature heartbeats originating from the ventricles of heart. These beats occur before regular heartbeat. PVCs in patients with heart diseases (heart attacks, failure, valves) may be associated increased risks developing tachycardia. This study presents uses PoincarA© plot indexes and sample entropy (SE) analyses rate variability (HRV) short term ECG recordings as a screening tool for PVCs. A total 16 sets recordings, 8 normal rhythm PVC analyzed. SE measure used analyzing complexity HRV. clear reduction standard deviation (SD) projections patterns is observed healthy group significant difference SD between subjects. Additionally, lower values found group. The results show that HRV can identifying

参考文章(14)
Hadi Mahmodi, Sohrab Behnia, Afshin Akhshani, Hassan Hobbenagi., On the Calculation of Chaotic Features for Nonlinear Time Series Chinese Journal of Physics. ,vol. 46, pp. 394- 404 ,(2008)
V. Tuzcu, S. Nas, Sample entropy analysis of heart rhythm following cardiac transplantation systems, man and cybernetics. ,vol. 1, pp. 198- 202 ,(2005) , 10.1109/ICSMC.2005.1571145
Joshua S. Richman, J. Randall Moorman, Physiological time-series analysis using approximate entropy and sample entropy American Journal of Physiology-heart and Circulatory Physiology. ,vol. 278, ,(2000) , 10.1152/AJPHEART.2000.278.6.H2039
TIM F. OBERLANDER, LAUREL H. CARNEY, J. PHILIP SAUL, DANIEL A. LITVACK, Time and frequency domain methods for heart rate variability analysis: a methodological comparison. Psychophysiology. ,vol. 32, pp. 492- 504 ,(1995) , 10.1111/J.1469-8986.1995.TB02101.X
Przemyslaw Guzik, Jaroslaw Piskorski, Tomasz Krauze, Raphael Schneider, Karel H. Wesseling, Andrzej Wykretowicz, Henryk Wysocki, Correlations between the Poincaré plot and conventional heart rate variability parameters assessed during paced breathing. Journal of Physiological Sciences. ,vol. 57, pp. 63- 71 ,(2007) , 10.2170/PHYSIOLSCI.RP005506
P. W. Kamen, A. M. Tonkin, Application of the Poincaré plot to heart rate variability: a new measure of functional status in heart failure. Australian and New Zealand Journal of Medicine. ,vol. 25, pp. 18- 26 ,(1995) , 10.1111/J.1445-5994.1995.TB00573.X
Jarosław Piskorski, Przemysław Guzik, Filtering Poincaré plots computational methods in science and technology. ,vol. 11, pp. 39- 48 ,(2005) , 10.12921/CMST.2005.11.01.39-48
M. Brennan, M. Palaniswami, P. Kamen, Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability IEEE Transactions on Biomedical Engineering. ,vol. 48, pp. 1342- 1347 ,(2001) , 10.1109/10.959330
Michael Brennan, Marimuthu Palaniswami, Peter Kamen, Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators. American Journal of Physiology-heart and Circulatory Physiology. ,vol. 283, ,(2002) , 10.1152/AJPHEART.00405.2000