Effect of yoga on pulse rate variability measured from a venous pressure waveform

Hernando, D. ; Nardelli, M. ; Hocking, K. ; Lazaro, J. ; Alvis, B. ; Gil, E. (Universidad de Zaragoza) ; Scilingo, E.P. ; Brophy, D.R. ; Valenza, G. ; Laguna, P. ; Brophy, C. ; Bailon, R. (Universidad de Zaragoza)

Resumen: The benefits of yoga have been studied in different fields, from chronic health conditions to mental disorders, showing that it can help to improve the overall health. In particular, it has been proven that yoga also improves the autonomic function. Heart rate variability (HRV) at rest is commonly used as a non-invasive measure of autonomic regulation of heart rate. Alternatively, pulse rate variability (PRV) has been proposed as a surrogate of HRV. VoluMetrix has developed a novel technology that captures venous waveforms via sensors on the volar aspect of the wrist, called NIVAband. This study aims to assess the effect of yoga in the autonomic nervous system by analyzing the PRV obtained from the NIVA signal. Temporal (statistics of the normal-to-normal intervals), spectral (power in low and high frequency bands) and nonlinear (lagged Poincaré Plot analysis) parameters are analyzed before and after a yoga session in 20 healthy volunteers. The PRV analysis shows an increase in parameters related to parasympathetic activity and overall variability, and a decrease in parameters related to sympathetic activity and mean heart rate. These results support the beneficial effect of yoga in autonomic nervous system, increasing the parasympathetic activity.

Idioma: Inglés

DOI: 10.1109/EMBC.2019.8856657

Año: 2019

Publicado en: Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) (2019), 372-375
ISSN: 1557-170X

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
Financiación: info:eu-repo/grantAgreement/ES/DGA/FSE
Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER-ISCIII-CIBER-BBN/DPI2016-75458-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER-ISCIII-CIBER-BBN/RTI2018-097723-B-I00

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)