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

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Henriques, T (Author) FMUP; Ribeiro, M (Author) Other; teixeira, a (Author) FMUP; Castro, L (Author) FCUP; antunes, l (Author) FCUP; Cristina Costa Santos (Author) FMUP

Journal

Title: Entropy

Vol. 22

Final page: 309

ISSN: 1099-4300

Publisher: MDPI

Indexing

ISI Web of Knowledge - 60 Citations

Scopus - 67 Citations

Other information

Authenticus ID: P-00R-V30

DOI: 10.3390/e22030309

Abstract (EN): 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: Poincare 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 40