Wearable accuracy database
Published validation results for consumer wearables, one row per device, metric and statistic. Every row carries the reference standard, the sample, who funded the study, the DOI and the exact sentence or table cell the number came from.
261
results
78
studies
90
device models
14
metrics
35
independently funded studies
Coverage by brand and metric
Number of studies with at least one result. “Maker only” means every result for that brand and metric comes from a study the maker funded, employed authors on or supported, or from a preprint. A dash means we found no published validation.
| Brand | Heart rate at rest | Heart rate during exercise | Overnight heart rate | HRV (RMSSD) | Sleep stages (4-stage) | Sleep vs wake (2-stage) | Total sleep time | Blood oxygen (SpO2) | Atrial fibrillation detection | VO2max estimate | Energy expenditure (calories) | Respiratory rate | Blood pressure | Skin temperature |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Apple Watch | 2 | 9 | 1 | 2 | 4 | 3 | – | 8 | 4 | 3 | 6 | – | – | – |
| Oura | 1 | 1 | 3 | 4 | 6 | 7 | 4 | – | – | – | 2 | – | – | – |
| WHOOP | 1maker only | 2 | 2 | 3 | 4 | 4 | 1 | – | – | – | – | – | – | – |
| Garmin | 1 | 3 | 1 | 3 | 2 | 3 | 1 | 5 | – | 3 | 3 | – | – | – |
| Fitbit | 2 | 5 | – | – | 3 | 3 | 1 | 1 | 3 | – | 4 | 1 | – | – |
| Pixel Watch | – | 2 | – | – | 1 | – | – | – | – | 1maker only | 1maker only | – | – | – |
| Samsung | 1 | 4 | – | – | 1 | – | 1 | 3 | 1 | – | 2 | 1maker only | 3 | 1maker only |
| Polar | – | 7 | 3 | 3 | 1 | 1 | 1 | – | – | – | 3 | – | – | – |
| Withings | 1 | 1 | – | – | 1 | 1 | – | 3 | 1 | – | – | – | – | – |
| Amazfit | – | 1 | – | – | – | – | – | – | – | – | – | – | – | – |
| Ultrahuman | – | – | – | – | – | – | – | – | – | 1maker only | – | – | – | – |
| COROS | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Rankings by metric: wearable accuracy leaderboards.
Method
- Original papers only, taken from the abstract or open full text; every DOI verified on Crossref. Preprints are marked peer_reviewed = false and never ranked.
- Each value is quoted verbatim from the source; quotes are machine-checked against the source text.
- Rankings compare rows only with the same metric, the same statistic and a comparable reference standard.
- industry_funded is true when the paper discloses funding, employment or support from the maker of that device.
Cite this dataset
ChatPPG (2026). Wearable Accuracy Database, version 1.0.0. https://chatppg.com/research/accuracy
@misc{chatppg_accuracy_1_0_0,
title = {Wearable Accuracy Database},
author = {{ChatPPG}},
year = {2026},
version = {1.0.0},
howpublished = {\url{https://chatppg.com/research/accuracy}},
note = {Data: https://chatppg.com/research/accuracy.csv. Licence CC BY 4.0}
}Please also cite the original study for any number you use. Each row links to it by DOI.
Studies (78)
- Accuracy of a Smart-Ring VO2max Estimate and Five Published Prediction Equations Against Cardiopulmonary Exercise Testing: Development and Validation Study With Population-Scale Analysis
Dhawale et al. (2026), medRxiv (preprint). doi:10.64898/2026.07.16.26358226 · 1 result · Maker funded or authored · Preprint, not peer reviewed
- Validity of V̇O2max estimates from the forerunner 245 smartwatch in highly vs. moderately trained endurance athletes
Engel et al. (2026), European Journal of Applied Physiology. doi:10.1007/s00421-025-05923-x · 1 result · Funding not reported
- Validity of Galaxy Watch for Estimating Energy Expenditure During Intermittent Running: Cross-Sectional Study
Ferreira et al. (2026), JMIR Formative Research. doi:10.2196/83090 · 1 result · Funding not reported
- Accuracy of Optical Heart Rate Measurements for 10 Commercial Wearables in Different Climate Conditions and Activities: Instrument Validation Study
Gielen et al. (2026), JMIR Formative Research. doi:10.2196/85186 · 6 results · Funding not reported
- Heart Rate Estimation Using the Galaxy Watch During Maximal Cardiopulmonary Exercise Testing: Cross-Sectional Validation Study
Inoue et al. (2026), JMIR Cardio. doi:10.2196/81917 · 1 result · Funding not reported
- Comparison of heart rate measurement accuracy among commercially available photoplethysmography-based wearable devices across exercise intensities
Jeong et al. (2026), Physical Activity and Nutrition. doi:10.20463/pan.2026.0032 · 4 results · Independent
- Performance of Wearable Pulse Oximetry During Controlled Hypoxia Induction: Instrument Validation Study
Jiang et al. (2026), JMIR Formative Research. doi:10.2196/85253 · 1 result · Funding not reported
- Evaluation of the accuracy of wrist skin temperature measured using an infrared sensor for prediction ovulation date
Kim et al. (2026), Biosensors and Bioelectronics. doi:10.1016/j.bios.2026.118755 · 1 result · Maker funded or authored
- Body fat, skin tone, and the accuracy of smartwatch caloric expenditure estimates
Kostrna et al. (2026), PLOS One. doi:10.1371/journal.pone.0353261 · 4 results · Independent
- Accuracy of VO2 max Estimates From Apple Watch Series 10
Lambe et al. (2026), Mayo Clinic Proceedings: Digital Health. doi:10.1016/j.mcpdig.2026.100357 · 1 result · Independent
- The accuracy of VO2 max, heart rate and energy expenditure measurements from Google Pixel Watch 3
Lambe et al. (2026), PLOS One. doi:10.1371/journal.pone.0356808 · 3 results · Maker funded or authored
- Comparative Validity of Smartwatch-Derived Heart Rate and Energy Expenditure During Endurance and Resistance Exercise
Lee et al. (2026), Sensors. doi:10.3390/s26082526 · 1 result · Independent
- Influence of skin pigmentation on the accuracy and data quality of photoplethysmographic heart rate measurement during exercise
Mulholland et al. (2026), European Journal of Applied Physiology. doi:10.1007/s00421-025-05977-x · 2 results · Independent
- Performance evaluation of consumer sleep-tracking wearables and nearables in healthy young and older adults
Searles et al. (2026), SLEEP Advances. doi:10.1093/sleepadvances/zpag006 · 2 results · Funding not reported
- Long-term accuracy and stability of blood pressure measurements from a smartwatch: Prospective validation study
Walzel et al. (2026), DIGITAL HEALTH. doi:10.1177/20552076261415923 · 1 result · Funding not reported
- Validity of Heart Rate Variability Measured with Apple Watch Series 6 Compared to Laboratory Measures
Bonneval et al. (2025), Sensors. doi:10.3390/s25082380 · 1 result · Independent
- Evaluation of Pulse Oximetry Accuracy in a Commercial Smartphone and Smartwatch Device During Human Hypoxia Laboratory Testing
Browne et al. (2025), Sensors. doi:10.3390/s25051286 · 1 result · Independent
- Validation of Aerobic Capacity (VO2max) and Pulse Oximetry in Wearable Technology
Carrier et al. (2025), Sensors. doi:10.3390/s25010275 · 2 results · Independent
- Validation of nocturnal resting heart rate and heart rate variability in consumer wearables
Dial et al. (2025), Physiological Reports. doi:10.14814/phy2.70527 · 18 results · Independent
- Performance of wearable finger ring trackers for diagnostic sleep measurement in the clinical context
Herberger et al. (2025), Scientific Reports. doi:10.1038/s41598-025-93774-z · 3 results · Independent
- Investigating the accuracy of Apple Watch VO2 max measurements: A validation study
Lambe et al. (2025), PLOS One. doi:10.1371/journal.pone.0323741 · 1 result · Independent
- Laboratory comparison of consumer-grade and research-established wearables for monitoring heart rate, body temperature, and physical acitivity in sub-Saharan Africa
Mendt et al. (2025), Frontiers in Physiology. doi:10.3389/fphys.2025.1491401 · 1 result · Independent
- Impact of Anatomical Placement on the Accuracy of Wearable Heart Rate Monitors During Rest and Various Exercise Intensities
Moghaddam et al. (2025), Sensors. doi:10.3390/s26010176 · 2 results · Funding not reported
- A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography
Schyvens et al. (2025), Sleep Advances. doi:10.1093/sleepadvances/zpaf021 · 12 results · Funding not reported
- Accuracy of the Apple Watch in measuring oxygen saturation: comparison with pulse oximetry and ABG
Arslan et al. (2024), Irish Journal of Medical Science (1971 -). doi:10.1007/s11845-023-03456-w · 1 result · Funding not reported
- Performance of a commercial smart watch compared to polysomnography reference for overnight continuous oximetry measurement and sleep apnea evaluation
Browne et al. (2024), Journal of Clinical Sleep Medicine. doi:10.5664/jcsm.11178 · 1 result · Maker funded or authored
- Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study
Caserman et al. (2024), JMIR Biomedical Engineering. doi:10.2196/59459 · 1 result · Independent
- Accuracy of the Apple Watch Series 9 for Measures of Energy Expenditure and Heart Rate at Rest and During Exercise: Impact of Skin Pigmentation
Chase et al. (2024), Journal of Functional Morphology and Kinesiology. doi:10.3390/jfmk9040275 · 2 results · Independent
- Validity of a Consumer-Based Wearable to Measure Clinical Parameters in Patients With Chronic Obstructive Pulmonary Disease and Healthy Controls: Observational Study
Hermans et al. (2024), JMIR mHealth and uHealth. doi:10.2196/56027 · 3 results · Funding not reported
- Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study
Ibrahim et al. (2024), Cardiovascular Engineering and Technology. doi:10.1007/s13239-023-00693-z · 1 result · Funding not reported
- The Validity of Apple Watch Series 9 and Ultra 2 for Serial Measurements of Heart Rate Variability and Resting Heart Rate
O'Grady et al. (2024), Sensors. doi:10.3390/s24196220 · 2 results · Independent
- Accuracy of Smartwatch Pulse Oximetry Measurements in Hospitalized Patients With Coronavirus Disease 2019
Rajakariar et al. (2024), Mayo Clinic Proceedings: Digital Health. doi:10.1016/j.mcpdig.2024.02.001 · 2 results · Independent
- Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults
Robbins et al. (2024), Sensors. doi:10.3390/s24206532 · 9 results · Maker funded or authored
- Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs
Svensson et al. (2024), Sleep Medicine. doi:10.1016/j.sleep.2024.01.020 · 4 results · Maker funded or authored
- Wrist-worn devices for the measurement of heart rate and energy expenditure: A validation study for the Apple Watch 6, Polar Vantage V and Fitbit Sense
Hajj-Boutros et al. (2023), European Journal of Sport Science. doi:10.1080/17461391.2021.2023656 · 6 results · Funding not reported
- Feasibility and measurement stability of smartwatch-based cuffless blood pressure monitoring: A real-world prospective observational study
Han et al. (2023), Hypertension Research. doi:10.1038/s41440-023-01215-z · 1 result · Funding not reported
- Investigating the accuracy of blood oxygen saturation measurements in common consumer smartwatches
Jiang et al. (2023), PLOS Digital Health. doi:10.1371/journal.pdig.0000296 · 5 results · Independent
- Validating a Consumer Smartwatch for Nocturnal Respiratory Rate Measurements in Sleep Monitoring
Jung et al. (2023), Sensors. doi:10.3390/s23187976 · 1 result · Maker funded or authored
- Validation of Oura ring energy expenditure and steps in laboratory and free-living
Kristiansson et al. (2023), BMC Medical Research Methodology. doi:10.1186/s12874-023-01868-x · 1 result · Independent
- Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study
Lee et al. (2023), JMIR mHealth and uHealth. doi:10.2196/50983 · 10 results · Independent
- Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study
Mannhart et al. (2023), JACC: Clinical Electrophysiology. doi:10.1016/j.jacep.2022.09.011 · 8 results · Funding not reported
- Accuracy of the Apple Watch Oxygen Saturation Measurement in Adults and Children with Congenital Heart Disease
Pätz et al. (2023), Pediatric Cardiology. doi:10.1007/s00246-022-02987-w · 1 result · Funding not reported
- Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study
Selder et al. (2023), Journal of Medical Internet Research. doi:10.2196/44642 · 1 result · Independent
- Assessment of Noninvasive Oxygen Saturation in Patients With COPD During Pulmonary Rehabilitation: Smartwatch versus Pulse Oximeter
Støve et al. (2023), Respiratory Care. doi:10.4187/respcare.10760 · 2 results · Funding not reported
- Smartwatch-derived heart rate variability: a head-to-head comparison with the gold standard in cardiovascular disease
Theurl et al. (2023), European Heart Journal - Digital Health. doi:10.1093/ehjdh/ztad022 · 2 results · Independent
- Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter
Walzel et al. (2023), Sensors. doi:10.3390/s23229164 · 3 results · Independent
- Validity of Two Consumer Multisport Activity Tracker and One Accelerometer against Polysomnography for Measuring Sleep Parameters and Vital Data in a Laboratory Setting in Sleep Patients
Budig et al. (2022), Sensors. doi:10.3390/s22239540 · 2 results · Independent
- Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy
Falter et al. (2022), Frontiers in Cardiovascular Medicine. doi:10.3389/fcvm.2022.958212 · 1 result · Independent
- Measurement of Heart Rate Using the Withings ScanWatch Device During Free-living Activities: Validation Study
Giggins et al. (2022), JMIR Formative Research. doi:10.2196/34280 · 1 result · Independent
- Polar Vantage and Oura Physical Activity and Sleep Trackers: Validation and Comparison Study
Henriksen et al. (2022), JMIR Formative Research. doi:10.2196/27248 · 4 results · Independent
- Validity of three smartwatches in estimating energy expenditure during outdoor walking and running
Le et al. (2022), Frontiers in Physiology. doi:10.3389/fphys.2022.995575 · 3 results · Independent
- Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study
Lubitz et al. (2022), Circulation. doi:10.1161/CIRCULATIONAHA.122.060291 · 1 result · Maker funded or authored
- A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults
Miller et al. (2022), Sensors. doi:10.3390/s22166317 · 48 results · Maker funded or authored
- Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
Nissen et al. (2022), JMIR Formative Research. doi:10.2196/33635 · 4 results · Independent
- Assessment of Non-Invasive Measurements of Oxygen Saturation and Heart Rate with an Apple Smartwatch: Comparison with a Standard Pulse Oximeter
Spaccarotella et al. (2022), Journal of Clinical Medicine. doi:10.3390/jcm11061467 · 2 results · Independent
- Accuracy of the Apple Watch Series 6 and the Whoop Band 3.0 for assessing heart rate during resistance exercises
Støve et al. (2022), Journal of Sports Sciences. doi:10.1080/02640414.2023.2180160 · 2 results · Funding not reported
- The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring
Altini et al. (2021), Sensors. doi:10.3390/s21134302 · 2 results · Maker funded or authored
- Wrist-Based Photoplethysmography Assessment of Heart Rate and Heart Rate Variability: Validation of WHOOP
Bellenger et al. (2021), Sensors. doi:10.3390/s21103571 · 2 results · Maker funded or authored
- Multi-Night Validation of a Sleep Tracking Ring in Adolescents Compared with a Research Actigraph and Polysomnography
Chee et al. (2021), Nature and Science of Sleep. doi:10.2147/NSS.S286070 · 2 results · Maker funded or authored
- Performance of seven consumer sleep-tracking devices compared with polysomnography
Chinoy et al. (2021), Sleep. doi:10.1093/sleep/zsaa291 · 3 results · Funding not reported
- Accuracy and Reliability of Commercial Wrist-Worn Pulse Oximeter During Normobaric Hypoxia Exposure Under Resting Conditions
Lauterbach et al. (2021), Research Quarterly for Exercise and Sport. doi:10.1080/02701367.2020.1759768 · 1 result · Funding not reported
- A Validation Study of a Commercial Wearable Device to Automatically Detect and Estimate Sleep
Miller et al. (2021), Biosensors. doi:10.3390/bios11060185 · 2 results · Maker funded or authored
- Validity of the Wrist-Worn Polar Vantage V2 to Measure Heart Rate and Heart Rate Variability at Rest
Nuuttila et al. (2021), Sensors. doi:10.3390/s22010137 · 2 results · Maker funded or authored
- Validity of Peripheral Oxygen Saturation Measurements with the Garmin Fēnix® 5X Plus Wearable Device at 4559 m
Schiefer et al. (2021), Sensors. doi:10.3390/s21196363 · 1 result · Independent
- Validity of the Polar Vantage M watch when measuring heart rate at different exercise intensities
Shumate et al. (2021), PeerJ. doi:10.7717/peerj.10893 · 1 result · Funding not reported
- Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
Stone et al. (2021), Frontiers in Sports and Active Living. doi:10.3389/fspor.2021.585870 · 5 results · Independent
- Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study
Asgari Mehrabadi et al. (2020), JMIR mHealth and uHealth. doi:10.2196/20465 · 2 results · Independent
- Wrist-Worn Wearables for Monitoring Heart Rate and Energy Expenditure While Sitting or Performing Light-to-Vigorous Physical Activity: Validation Study
Düking et al. (2020), JMIR mHealth and uHealth. doi:10.2196/16716 · 8 results · Independent
- Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG
Kinnunen et al. (2020), Physiological Measurement. doi:10.1088/1361-6579/ab840a · 2 results · Maker funded or authored
- A validation study of the WHOOP strap against polysomnography to assess sleep
Miller et al. (2020), Journal of Sports Sciences. doi:10.1080/02640414.2020.1797448 · 5 results · Funding not reported
- The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography
de Zambotti et al. (2019), Behavioral Sleep Medicine. doi:10.1080/15402002.2017.1300587 · 2 results · Funding not reported
- Validity of Wrist-Worn Activity Trackers for Estimating VO2max and Energy Expenditure
Passler et al. (2019), International Journal of Environmental Research and Public Health. doi:10.3390/ijerph16173037 · 1 result · Independent
- Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Perez et al. (2019), New England Journal of Medicine. doi:10.1056/NEJMoa1901183 · 1 result · Maker funded or authored
- Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation
Wasserlauf et al. (2019), Circulation: Arrhythmia and Electrophysiology. doi:10.1161/CIRCEP.118.006834 · 1 result · Funding not reported
- Smartwatch Algorithm for Automated Detection of Atrial Fibrillation
Bumgarner et al. (2018), Journal of the American College of Cardiology. doi:10.1016/j.jacc.2018.03.003 · 1 result · Funding not reported
- Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise
Gillinov et al. (2017), Medicine & Science in Sports & Exercise. doi:10.1249/MSS.0000000000001284 · 6 results · Funding not reported
- Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort
Shcherbina et al. (2017), Journal of Personalized Medicine. doi:10.3390/jpm7020003 · 4 results · Independent
- Accuracy of Heart Rate Watches: Implications for Weight Management
Wallen et al. (2016), PLOS ONE. doi:10.1371/journal.pone.0154420 · 1 result · Funding not reported