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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

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

Revista

Título: Entropy

Vol. 22

Página Final: 309

ISSN: 1099-4300

Editora: MDPI

Indexação

ISI Web of Knowledge - 93 Citações

Scopus - 109 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 40