Effects of Missing Data on Heart Rate Variability Measured From A Smartwatch: Exploratory Observational Study
This study describes a methodology for the extraction of HRV metrics from photoplethysmography sensor data that resulted in stable and valid metrics while using the least amount of available data. While smartwatches containing photoplethysmography sensors are valuable for remote monitoring of patients, future work is needed to identify best practices for using these sensors to evaluate HRV in medical settings.
Authors
- Howard J. Walls (ORCID: https://orcid.org/0000-0002-7005-5600)
- David E. Dausch (ORCID: https://orcid.org/0000-0003-4532-6074)
- Hope Davis‐Wilson (ORCID: https://orcid.org/0000-0001-5220-5858)
- Pooja Gaur (ORCID: https://orcid.org/0000-0003-0433-975X)
- Meghan Hegarty‐Craver (ORCID: https://orcid.org/0000-0002-0919-6906)
- D. Temple (ORCID: https://orcid.org/0000-0003-4195-6888)
- Edward A. Preble (ORCID: https://orcid.org/0000-0003-3529-0274)
- Matthew Boyce (ORCID: https://orcid.org/0000-0003-1944-9222)
- Jonathan R. Holt (ORCID: https://orcid.org/0000-0001-6791-7858)
- Randall Eckhoff (ORCID: https://orcid.org/0000-0003-0014-6475)
- Lei Li (ORCID: https://orcid.org/0000-0002-3993-2193)
Institutions
- RTI International (US)
- North Carolina Institute of Medicine (US)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-11-24
- DOI
- https://doi.org/10.2196/53645
- Citations
- 3
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 1.21