ArticleSensors (Basel, Switzerland)2020
Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 46 citations in OpenAlex.
- Wearable Devices and Machine Learning in Cardiovascular Monitoring: Current Evidence and Future Directions for Precision Medicine.Journal of personalized medicine · 2026Review
- Development of a Novel Low-Cost Knee Brace to Quantify Human Knee Function During Dynamic Tasks: A Feasibility Study from the North-West Province.Sensors (Basel, Switzerland) · 2026Article
- Speaker-independent dysarthria severity classification using self-supervised transformers and multi-task learning.PLOS digital health · 2025Article
- Postoperative use of fitness trackers for continuous monitoring of vital signs: a survey of hospitalized patients.Journal of clinical monitoring and computing · 2025Article
- Evaluating the Usability of Inertial Measurement Units for Measuring and Monitoring Activity Post-Stroke: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.Translational vision science & technology · 2024Article
- Development of an accelerometer-based wearable sensor approach for alcohol consumption detection.Alcohol, clinical & experimental research · 2024Article
- Wearable Technology Applications and Methods to Assess Clinical Outcomes in Foot and Ankle Disorders: Achievements and Perspectives.Sensors (Basel, Switzerland) · 2024Review
- Origami single-end capacitive sensing for continuous shape estimation of morphing structures.Scientific reports · 2024Article
- Validity and Reliability of a Smartphone Application for Home Measurement of Four-Meter Gait Speed in Older Adults.Bioengineering (Basel, Switzerland) · 2024Article
- Article
- Smartwatches in healthcare medicine: assistance and monitoring; a scoping review.BMC medical informatics and decision making · 2023Article
- Velocity-Based Strength Training: The Validity and Personal Monitoring of Barbell Velocity with the Apple Watch.Sports (Basel, Switzerland) · 2023Article
- Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy.Nature medicine · 2023Article
- Recent Advances in Wearable Optical Sensor Automation Powered by Battery versus Skin-like Battery-Free Devices for Personal Healthcare-A Review.Nanomaterials (Basel, Switzerland) · 2022Review
- Article
- Future of Wearable Health Devices: Smartwatches VS Smart Headphones.Journal of biomedical physics & engineering · 2021Article
- Motor learning in real-world pool billiards.Scientific reports · 2020Article
- Review
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 2 institutions in 1 country.
Funding
Abstract
Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a convenient and low-cost method to monitor the natural behaviour of hospital patients. However, their accuracy at quantifying limb motion, and clinical acceptability, have not yet been demonstrated. To this end we conducted a two-stage study: First, we compared the inertial accuracy of wrist-worn IMUs, both research-grade (Xsens MTw Awinda, and Axivity AX3) and consumer-grade (Apple Watch Series 3 and 5), and optical motion tracking (OptiTrack). Given the moderate to strong performance of the consumer-grade sensors, we then evaluated this sensor and surveyed the experiences and attitudes of hospital patients (N = 44) and staff (N = 15) following a clinical test in which patients wore smartwatches for 1.5-24 h in the second study. Results indicate that for acceleration, Xsens is more accurate than the Apple Series 5 and 3 smartwatches and Axivity AX3 (RMSE 1.66 ± 0.12 m·s
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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.