Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study.
Pooja GaurDorota S TempleMeghan Hegarty-CraverMatthew D BoyceJonathan R HoltMichael F WengerEdward A PrebleRandall Peter EckhoffMichelle S McCombsHope C Davis-WilsonHoward J WallsDavid E DauschPublished in: JMIR formative research (2024)
We demonstrate a protocol for data collection, extraction of heart rate and heart rate variability metrics, and prospective analysis that is compatible with near real-time health assessment using wearable sensors for continuous monitoring. The modular platform for data collection and analysis allows for a choice of different wearable sensors and algorithms. Here, we demonstrate its implementation in the collection of high-fidelity IBI data from Garmin Fenix 6 smartwatches worn by individuals in free-living conditions, and the prospective, near real-time analysis of the data, culminating in the calculation of health risk scores. To our knowledge, this study demonstrates for the first time the feasibility of measuring high-resolution heart IBI and step count using smartwatches in near real time for respiratory illness detection over a long-term monitoring period in free-living conditions.
Keyphrases
- heart rate
- heart rate variability
- blood pressure
- electronic health record
- healthcare
- health risk
- high resolution
- big data
- machine learning
- mental health
- randomized controlled trial
- heart failure
- data analysis
- heavy metals
- deep learning
- drinking water
- peripheral blood
- social media
- decision making
- single cell
- monte carlo