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 |
|---|---|
| Autor principal: | |
| Formato: | commentary letter Journal Article |
| Publicado: |
Academic Press Inc.
May2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
|---|