Methodological framework for heart rate variability analysis during exercise: application to running and cycling stress testing.
Standard methodologies of heart rate variability analysis and physiological interpretation as a marker of autonomic nervous system condition have been largely published at rest, but not so much during exercise. A methodological framework for heart rate variability (HRV) analysis during exercise is p...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 5; pp. 781 - 795 |
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| Autores principales: | , , , , , |
| Formato: | clinical trial research Journal Article |
| Publicado: |
Springer Nature
May2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129156212&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129156212 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2018 vid: 56 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 129156212 129156212 NLM28948522 129156212 10.1007/s11517-017-1724-9 NLM28948522 129156212 ppf: 781 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Methodological framework for heart rate variability analysis during exercise: application to running and cycling stress testing. aug: au: Hernando, David Hernando, Alberto Casajús, Jose A. Laguna, Pablo Garatachea, Nuria Bailón, Raquel affil: Biomedical Signal Interpretation, Computational Simulation (BSICoS) Group at the Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain sug: subj: Heart Rate Physiology Running Physiology Cycling Exercise Test Exercise Body Mass Index Male Adult Human Oxygen Consumption Clinical Trials Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Male ab: Standard methodologies of heart rate variability analysis and physiological interpretation as a marker of autonomic nervous system condition have been largely published at rest, but not so much during exercise. A methodological framework for heart rate variability (HRV) analysis during exercise is proposed, which deals with the non-stationary nature of HRV during exercise, includes respiratory information, and identifies and corrects spectral components related to cardiolocomotor coupling (CC). This is applied to 23 male subjects who underwent different tests: maximal and submaximal, running and cycling; where the ECG, respiratory frequency and oxygen consumption were simultaneously recorded. High-frequency (HF) power results largely modified from estimations with the standard fixed band to those obtained with the proposed methodology. For medium and high levels of exercise and recovery, HF power results in a 20 to 40% increase. When cycling, HF power increases around 40% with respect to running, while CC power is around 20% stronger in running. pubtype: Academic Journal doctype: clinical trial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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