Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements

Texto completo
Autor(es):
Fazan, Frederico Sassoli [1] ; Brognara, Fernanda [1] ; Fazan Junior, Rubens [1] ; Murta Junior, Luiz Otavio [2] ; Virgilio Silva, Luiz Eduardo [1, 3]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Med Ribeirao Preto, Dept Physiol, BR-14049900 Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Sch Philosophy Sci & Languages Ribeirao Preto, Dept Comp & Math, BR-14040901 Ribeirao Preto, SP - Brazil
[3] Univ Sao Paulo, Inst Math & Comp Sci, Dept Comp Sci, BR-13566590 Sao Carlos, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Entropy; v. 20, n. 1 JAN 2018.
Citações Web of Science: 5
Resumo

Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal. Although physical training is known to be beneficial, there is little information about the long-term complexity changes induced by the physical conditioning. The present study aimed to quantify the changes in physiological complexity elicited by physical training through multiscale entropy-based complexity measurements. Rats were subject to a protocol of medium intensity training (n = 13) or a sedentary protocol (n = 12). One-hour HRV series were obtained from all conscious rats five days after the experimental protocol. We estimated MSE, multiscale dispersion entropy (MDE) and multiscale SDiff q from HRV series. Multiscale SDiff q is a recent approach that accounts for entropy differences between a given time series and its shuffled dynamics. From SDiff q , three attributes (q-attributes) were derived, namely SDiff q m a x, q m a x and q z e r o. MSE, MDE and multiscale q-attributes presented similar profiles, except for SDiff q m a x . qmax showed significant differences between trained and sedentary groups on Time Scales 6 to 20. Results suggest that physical training increases the system complexity and that multiscale q-attributes provide valuable information about the physiological complexity. (AU)

Processo FAPESP: 17/05163-6 - Papel do sistema nervoso autônomo parassimpático e simpático na modulação da sepse em ratos não anestesiados
Beneficiário:Fernanda Brognara Penteado Dias
Linha de fomento: Bolsas no Brasil - Doutorado Direto