Sampling rate and heart rate variability: On metrics and health outcomes...Burma JS, Lapointe AP, Soroush A et al. Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data. Journal of Biomedical Informatics 2021; 123: N.PAG-N.PAG
Sampling rate impacts the quality of HRV estimates. In the context of the recent research article by Burma et al published in JBI which systematically examined this matter, I discuss this notion more deeply with practical implications to biomedical informatics. Not all HRV metrics are created equal...
| Publicado en: | Journal of Biomedical Informatics Vol. 129 |
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| Autor principal: | |
| Formato: | commentary letter Journal Article |
| Publicado: |
Academic Press Inc.
May2022
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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=157285340&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157285340 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: May2022 vid: 129 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 157285340 157285340 NLM35367654 157285340 10.1016/j.jbi.2022.104061 NLM35367654 157285340 ppct: 1 formats: tig: atl: Sampling rate and heart rate variability: On metrics and health outcomes...Burma JS, Lapointe AP, Soroush A et al. Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data. Journal of Biomedical Informatics 2021; 123: N.PAG-N.PAG aug: au: Frasch, M.G. affil: School of Medicine, University of Washington, Seattle, WA, USA sug: subj: Benchmarking Heart Rate Physiology ab: Sampling rate impacts the quality of HRV estimates. In the context of the recent research article by Burma et al published in JBI which systematically examined this matter, I discuss this notion more deeply with practical implications to biomedical informatics. Not all HRV metrics are created equal regarding their sensitivity to sampling rate errors when their health predictive performance is concerned. A combination of several, especially nonlinear HRV metrics can remedy these sampling rate constraints. I present methodology for comprehensive validation of the effect of sampling rate on HRV. pubtype: Academic Journal doctype: commentary letter Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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