Prediction of self-terminating Ventricular Tachycardia in isolated rat heart experiments by using wavelet analysis

Le Duy Manh; Bui Phuong Thuy; Bui Van Hai; Man Minh Tan; Trinh Xuan Hoang; Pik-Yin Lai; C. K. Chan

doi:10.15625/2525-2518/18176

Author affiliations

Authors

Le Duy Manh Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Ha Noi, Viet Nam https://orcid.org/0000-0003-4291-8568
Bui Phuong Thuy Faculty of Natural Sciences, Duy Tan University, 254 Nguyen Van Linh, Da Nang, Viet Nam
Bui Van Hai 4Le Quy Don Technical University, 236 Hoang Quoc Viet, North Tu Liem Dist, Ha Noi, Viet Nam https://orcid.org/0000-0003-1442-4202
Man Minh Tan Faculty of Natural Sciences, Duy Tan University, 254 Nguyen Van Linh, Da Nang, Viet Nam https://orcid.org/0000-0002-4318-4482
Trinh Xuan Hoang Institute of Physics, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Ha Noi, Viet Nam https://orcid.org/0000-0002-2672-562X
Pik-Yin Lai Department of Physics and Center for Complex Systems, National Central University, Chung-Li District, Taoyuan City, 320, Taiwan, ROC
C. K. Chan Institute of Physics, Academia Sinica, Taipei, Taiwan 115, ROC

DOI:

https://doi.org/10.15625/2525-2518/18176

Keywords:

Ventricular tachycardia, wavelet analysis, bivariate time series, mechano-electrical coupling

Abstract

This study investigates whether self-terminating and prolonged ventricular tachycardias (VT) can be differentiated using cross-wavelet analysis. VT is a type of arrhythmia that may persist or transform into other arrhythmias. In this study, 40 VT samples from 7 isolated rat hearts are analyzed, including 19 prolonged VTs and 21 self-terminating VTs (STVTs). Bivariate timeseries of left ventricular and right atrium are analyzed using cross-wavelet analysis to find correlations between the signals. The results show that self-terminating VT occurs most frequently when there is a weak correlation between the signals, while prolonged VT is associated with a strong correlation between ventricular and atrial signals. The study suggests that mechano-electrical interaction between the right atrium and left ventricle may be the underlying mechanism for this connection. The findings may have implications for understanding the underlined mechanism and treatment of VT in clinical practice.

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