Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review

Entropy

Luísa Castro¹  Andreia Teixeira¹  Teresa Henriques¹  Cristina Costa-Santos¹  Maria Ribeiro²  Luís Antunes² 

[1] Centre for Health Technology and Services Research (CINTESIS), Faculty of Medicine University of Porto, 4200-450 Porto, Portugal;Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), 4200-465 Porto, Portugal;

关键词: nonlinear methods;    heart-rate dynamics;    time series;   

DOI  :  10.3390/e22030309

来源: DOAJ

【 摘 要 】

The heart-rate dynamics are one of the most analyzed physiological interactions. Many mathematical methods were proposed to evaluate heart-rate variability. These methods have been successfully applied in research to expand knowledge concerning the cardiovascular dynamics in healthy as well as in pathological conditions. Notwithstanding, they are still far from clinical practice. In this paper, we aim to review the nonlinear methods most used to assess heart-rate dynamics. We focused on methods based on concepts of chaos, fractality, and complexity: Poincaré plot, recurrence plot analysis, fractal dimension (and the correlation dimension), detrended fluctuation analysis, Hurst exponent, Lyapunov exponent entropies (Shannon, conditional, approximate, sample entropy, and multiscale entropy), and symbolic dynamics. We present the description of the methods along with their most notable applications.

【 授权许可】

Unknown