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000101184 001__ 101184 000101184 005__ 20210407143739.0 000101184 0247_ $$2doi$$a10.1109/EMBC.2019.8856657 000101184 0248_ $$2sideral$$a122978 000101184 037__ $$aART-2019-122978 000101184 041__ $$aeng 000101184 100__ $$0(orcid)0000-0002-1462-4880$$aHernando, D. 000101184 245__ $$aEffect of yoga on pulse rate variability measured from a venous pressure waveform 000101184 260__ $$c2019 000101184 5060_ $$aAccess copy available to the general public$$fUnrestricted 000101184 5203_ $$aThe benefits of yoga have been studied in different fields, from chronic health conditions to mental disorders, showing that it can help to improve the overall health. In particular, it has been proven that yoga also improves the autonomic function. Heart rate variability (HRV) at rest is commonly used as a non-invasive measure of autonomic regulation of heart rate. Alternatively, pulse rate variability (PRV) has been proposed as a surrogate of HRV. VoluMetrix has developed a novel technology that captures venous waveforms via sensors on the volar aspect of the wrist, called NIVAband. This study aims to assess the effect of yoga in the autonomic nervous system by analyzing the PRV obtained from the NIVA signal. Temporal (statistics of the normal-to-normal intervals), spectral (power in low and high frequency bands) and nonlinear (lagged Poincaré Plot analysis) parameters are analyzed before and after a yoga session in 20 healthy volunteers. The PRV analysis shows an increase in parameters related to parasympathetic activity and overall variability, and a decrease in parameters related to sympathetic activity and mean heart rate. These results support the beneficial effect of yoga in autonomic nervous system, increasing the parasympathetic activity. 000101184 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS$$9info:eu-repo/grantAgreement/ES/DGA/FSE$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER-ISCIII-CIBER-BBN/DPI2016-75458-R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER-ISCIII-CIBER-BBN/RTI2018-097723-B-I00 000101184 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000101184 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000101184 700__ $$aNardelli, M. 000101184 700__ $$aHocking, K. 000101184 700__ $$aLazaro, J. 000101184 700__ $$aAlvis, B. 000101184 700__ $$0(orcid)0000-0001-7285-0715$$aGil, E.$$uUniversidad de Zaragoza 000101184 700__ $$aScilingo, E.P. 000101184 700__ $$aBrophy, D.R. 000101184 700__ $$aValenza, G. 000101184 700__ $$aLaguna, P. 000101184 700__ $$aBrophy, C. 000101184 700__ $$0(orcid)0000-0003-1272-0550$$aBailon, R.$$uUniversidad de Zaragoza 000101184 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000101184 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000101184 773__ $$g(2019), 372-375$$pConf. proc. (IEEE Eng. Med. Biol. Soc., Conf.)$$tConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.)$$x1557-170X 000101184 8564_ $$s89026$$uhttps://zaguan.unizar.es/record/101184/files/texto_completo.pdf$$yPostprint 000101184 8564_ $$s3560007$$uhttps://zaguan.unizar.es/record/101184/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000101184 909CO $$ooai:zaguan.unizar.es:101184$$particulos$$pdriver 000101184 951__ $$a2021-04-07-12:58:25 000101184 980__ $$aARTICLE
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