Heart Rate Variability Assessment Using Time–Frequency Analysis in Hypotensive and Non-Hypotensive Patients in Hemodialysis
| Autor: | Claudia Lerma, Raúl Cartas-Rosado, Miguel Cadena-Méndez, Raúl Martínez-Memije, Brayans Becerra-Luna, Juan Carlos Sanchez-Garcia, Gabriel Sanchez-Perez, José Manuel Rodríguez-Chagolla, Oscar Infante-Vázquez, Héctor Pérez-Grovas |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment 030232 urology & nephrology lcsh:Technology lcsh:Chemistry 03 medical and health sciences 0302 clinical medicine Internal medicine Medicine Heart rate variability General Materials Science Decompensation Very low frequency lcsh:QH301-705.5 Instrumentation Fluid Flow and Transfer Processes Polynomial regression hemodialysis lcsh:T business.industry Process Chemistry and Technology General Engineering Short-time Fourier transform heart rate variability intradialytic hypotension lcsh:QC1-999 Computer Science Applications Time–frequency analysis Autonomic nervous system lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 short-time Fourier transform Cardiology Hemodialysis lcsh:Engineering (General). Civil engineering (General) business lcsh:Physics 030217 neurology & neurosurgery |
| Zdroj: | Applied Sciences Volume 10 Issue 17 Applied Sciences, Vol 10, Iss 6074, p 6074 (2020) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app10176074 |
| Popis: | Intradialytic hypotension occurs in 10&ndash 30% of hemodialysis (HD) sessions. This phenomenon affects the cardiovascular system&rsquo 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&ndash 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&ndash 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. |
| Databáze: | OpenAIRE |
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