ArticleSensors (Basel, Switzerland)2023
On the Reliability of Wearable Technology: A Tutorial on Measuring Heart Rate and Heart Rate Variability in the Wild.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
- Reduction of Motion Artifacts in Cardiorespiratory Vital Signs as Oxygen Saturation and Non-Invasive Blood Pressure Through Redundant Denoising and Adaptive Filtering Methods for Wearable Healthcare Monitoring Systems.Cardiovascular engineering and technology · 2026Article
- Review
- Digital Health Monitoring and Intervention Suite for Stress in Frontline Nurses: Prospective Cohort Trial.JMIR formative research · 2026Article
- A Speed-Dependent Assessment of E-Textile-Based Sensor Technology: Validity of the Prevayl Wearable Heart Rate Monitor.Sensors (Basel, Switzerland) · 2026Article
- From signal to construct evidence: multimodal consumer-wearable sensing in real general-aviation flight.Frontiers in neuroergonomics · 2026Article
- Ambulatory physiological measures obtained under naturalistic urban mobility conditions have acceptable reliability.Scientific reports · 2025Article
- Frustration and its impact on search and rescue canines.Frontiers in veterinary science · 2025Article
- The ethical dimension of personal health monitoring in the armed forces: a scoping review.BMC medical ethics · 2024Article
- A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine.Cureus · 2024Review
- Night time heart rate predicts next-day pain in fibromyalgia and primary back pain.Pain reports · 2024Article
- The Future of Stress Management: Integration of Smartwatches and HRV Technology.Sensors (Basel, Switzerland) · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Wearable sensors are quickly making their way into psychophysiological research, as they allow collecting data outside of a laboratory and for an extended period of time. The present tutorial considers fidelity of physiological measurement with wearable sensors, focusing on reliability. We elaborate on why ensuring reliability for wearables is important and offer statistical tools for assessing wearable reliability for between participants and within-participant designs. The framework offered here is illustrated using several brands of commercially available heart rate sensors. Measurement reliability varied across sensors and, more importantly, across the situations tested, and was highest during sleep. Our hope is that by systematically quantifying measurement reliability, researchers will be able to make informed choices about specific wearable devices and measurement procedures that meet their research goals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.