SynthesisSensors (Basel, Switzerland)2019
Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 10 of them syntheses that pooled it.
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
126 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Concurrent validity of wearable IMUs for sagittal plane lower-limb range of motion during walking and estimated ground reaction forces: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2025Pooled it
- Measurement Properties of Wearable Kinematic-Based Data Collection Systems to Evaluate Ball Kicking in Soccer: A Systematic Review with Evidence Gap Map.Sensors (Basel, Switzerland) · 2024Pooled it
- Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Transcutaneous Functional Electrical Stimulation Controlled by a System of Sensors for the Lower Limbs: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.Sports medicine - open · 2022Pooled it
- Gait Impairment in Traumatic Brain Injury: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2021Pooled it
- The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.Journal of neuroengineering and rehabilitation · 2020Pooled it
- Impact of fatigue at the shoulder on the contralateral upper limb kinematics and performance.PloS one · 2022Trial
- Trial
- Is the head-mounted laser an appropriate tool to measure cervical movement across three planes?International biomechanics · 2026Article
- Biomechanics-informed inertial tracking achieves the accuracy of marker-based kinematics.Nature communications · 2026Article
- Deep learning-based physical exercise assessment of older adults using single-camera videos.PLOS digital health · 2026Article
- Development and Prospective Validation of Wearable Sensor-Based Gait Metric for Individuals with Lower-Limb Amputation.Sensors (Basel, Switzerland) · 2026Article
- Wearable IMU-Derived Kinematic Reference Profiles of Lower-Limb Kick and Wipe Gestures for Contactless Automotive Tailgate Activation.Sensors (Basel, Switzerland) · 2026Article
- How Valid Are Wearable Devices in Team Sports? A Systematic Review.Sports (Basel, Switzerland) · 2026Review
- Associations Between Hip Mobility and Pain in Chronic Low Back Pain Using IMU and Markerless Motion Capture.Sensors (Basel, Switzerland) · 2026Article
- Concurrent Validity of Two Inertial Measurement Unit Pipelines for Estimating Lumbar and Thoracic Kinematics During Lifting Tasks.Sensors (Basel, Switzerland) · 2026Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motion capture systems are recognized as the gold standard for joint angle calculation. However, studies using these systems are restricted to laboratory settings for technical reasons, which may lead to findings that are not representative of real-life context. Recently developed commercial and home-made inertial measurement sensors (M/IMU) are potentially good alternatives to the laboratory-based systems, and recent technology improvements required a synthesis of the current evidence. The aim of this systematic review was to determine the criterion validity and reliability of M/IMU for each body joint and for tasks of different levels of complexity. Five different databases were screened (Pubmed, Cinhal, Embase, Ergonomic abstract, and Compendex). Two evaluators performed independent selection, quality assessment (consensus-based standards for the selection of health measurement instruments [COSMIN] and quality appraisal tools), and data extraction. Forty-two studies were included. Reported validity varied according to task complexity (higher validity for simple tasks) and the joint evaluated (better validity for lower limb joints). More studies on reliability are needed to make stronger conclusions, as the number of studies addressing this psychometric property was limited. M/IMU should be considered as a valid tool to assess whole body range of motion, but further studies are needed to standardize technical procedures to obtain more accurate data.
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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.