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Heart Rate Variability Assessment Using Time–Frequency Analysis in Hypotensive and Non-Hypotensive Patients in Hemodialysis

Authors :
Brayans Becerra-Luna
Raúl Cartas-Rosado
Juan Carlos Sánchez-García
Raúl Martínez-Memije
Oscar Infante-Vázquez
Claudia Lerma
Héctor Pérez-Grovas
José Manuel Rodríguez-Chagolla
Gabriel Sánchez-Pérez
Miguel Cadena-Méndez
Source :
Applied Sciences, Vol 10, Iss 17, p 6074 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Intradialytic hypotension occurs in 10–30% of hemodialysis (HD) sessions. This phenomenon affects the cardiovascular system’s functions, which are reflected in the activity of the autonomic nervous system (ANS). To indirectly assess the ANS during HD, we analyzed the mean R–R intervals and the spectral power of heart rate variability (HRV) from 20 end-stage renal disease patients divided into hypotensive and non-hypotensive groups. The spectrotemporal analysis was accomplished using short-time Fourier transform with 10 min epochs of HRV overlapping by 40%. The spectral power was divided into three segments according to high frequency, low frequency, and very low frequency bandwidths and averaged to fit quadratic regression models. The analysis of the mean R–R intervals showed significant differences between the groups (p = 0.029). The power variation over time was significant in each spectral band (p ≪ 0.05). The average power, maximum power, and time when the peak was reached differed for each band and between groups, showing the ability to correctly identify the decompensation of the ANS and discriminate between hypotensive and non-hypotensive patients. Additionally, the changes in the sympathovagal ratio were not significant and very scattered for the hypotensive group (p = 0.23) compared to the non-hypotensive group, where the changes were significant (p ≪ 0.05) and much less scattered.

Details

Language :
English
ISSN :
20763417
Volume :
10
Issue :
17
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.ffb64e7c250142c1bf034d9f9852d829
Document Type :
article
Full Text :
https://doi.org/10.3390/app10176074