| Texto completo | |
| Autor(es): |
Neto, Osmar Pinto
[1]
;
Pinheiro, Andreia Oliveira
[1]
;
Pereira, Jr., Valter Luis
[1]
;
Pereira, Rafael
[2]
;
Baltatu, Ovidiu Constantin
[1]
;
Campos, Luciana Aparecida
[1]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Camilo Castelo Branco Univ UNICASTELO, CITE, BR-12247016 Sao Jose Dos Campos, SP - Brazil
[2] State Univ Southwest Bahia UESB, Dept Biol Sci, Jequie, BA - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS; v. 40, n. 1, p. 200-206, JAN 2016. |
| Citações Web of Science: | 3 |
| Resumo | |
The aim of this study was to characterize the cardiac autonomic nervous system (ANS) through Monet wavelet transforms of heart rate variability (HRV) and compare to Fast Fourier Transform (FFT) analysis. Cardiac sympathetic and parasympathetic blockades were studied in conscious rats. Monet and FFT were performed in (1) high-frequency band (HF: 0.6 to 3 Hz), (2) mid-frequency band (MF: 0.3 to 0.6 Hz), and (3) low-frequency band (LF: 0.07 to 0.3 Hz). While cardiac sympathetic inhibition with metoprolol did not alter average HR, Monet normalized power indices were able to detect it with the highest level of significance in LF. FFT HRV indices detected only parasympathetic blockade effects in LF and MF of the HRV, which accompanied the increase in the average HR. Thus, alterations of cardiac ANS may be sensitively detected through Morlet wavelet of HRV while average HR is not altered. (C) 2015 The Authors. Published by Elsevier Inc. (AU) | |
| Processo FAPESP: | 13/06698-0 - Biomarcadores matemáticos para regulação autonômica do sistema cardiovascular |
| Beneficiário: | Luciana Aparecida Campos Baltatu |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |