Comparison of nonlinear indices in analyses of heart rate variability.
Recent advances in study of heart rate variability (HRV) call for a paradigm shift from linear to nonlinear analysis. However, whether HRV per se is chaotic or merely random has remained an open problem. Myriad idealized measures of nonlinear dynamics or fractals which have been proposed in the literatures to characterize HRV are limited by their sensitivity to discernable noise. In this work, we compare the robustness of some nonlinear indices and evaluate their applicability to HRV analysis in the presence of noise.
Li
Cheng
C
Department of Mechanics and Engineering, Fudan University, Shanghai, 200032, People's Republic of China.
Tang
Da-Kan
DK
Zheng
Da-An
DA
Ding
Guang-Hong
GH
Poon
Chi-Sang
CS
Wu
Guo-Qiang
GQ
D000465:Algorithms; D004562:Electrocardiography; D019277:Entropy; D017709:Fractals; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted