ArticleSensors (Basel, Switzerland)2022
Reliability and Validity of an Inertial Measurement System to Quantify Lower Extremity Joint Angle in Functional Movements.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 4 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
- Changes in shoulder range of motion following arthroscopic rotator cuff repair: a systematic review.BMC musculoskeletal disorders · 2025Pooled it
- The Role of Multi-Sensor Measurement in the Assessment of Movement Quality: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Monitoring Scapular Kinematics through Wearable Magneto-Inertial Measurement Units: State of the Art and New Frontiers.Sensors (Basel, Switzerland) · 2023Pooled it
- Validity, Reliability and Interpretability of an IMU-Based System to Measure 3D Lower Limb Kinematics of Patients with Heterogeneous Gait Disorders.Sensors (Basel, Switzerland) · 2026Article
- Validity and reliability of inertial measurement units for measuring gait kinematics in older adults across varying fall risk levels and walking speeds.BMC geriatrics · 2025Article
- Assessing real-world movements using consumer-grade wearable devices: Measuring segment orientations and movement quality.Wearable technologies · 2025Article
- Assessment of functional movement screen and performance parameters of wrestlers using inertial sensors.Frontiers in sports and active living · 2025Article
- MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance.Scientific data · 2024Article
- The Difference in the Assessment of Knee Extension/Flexion Angles during Gait between Two Calibration Methods for Wearable Goniometer Sensors.Sensors (Basel, Switzerland) · 2024Article
- Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study.BMC geriatrics · 2024Article
- Article
- Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera.Sensors (Basel, Switzerland) · 2023Article
- Optically Non-Contact Cross-Country Skiing Action Recognition Based on Key-Point Collaborative Estimation and Motion Feature Extraction.Sensors (Basel, Switzerland) · 2023Article
- Validity and Reliability of a Wearable Goniometer Sensor Controlled by a Mobile Application for Measuring Knee Flexion/Extension Angle during the Gait Cycle.Sensors (Basel, Switzerland) · 2023Article
- A Quantitative Assessment Grading Study of Balance Performance Based on Lower Limb Dataset.Sensors (Basel, Switzerland) · 2022Article
- A Comprehensive Analysis of the Validity and Reliability of the Perception Neuron Studio for Upper-Body Motion Capture.Sensors (Basel, Switzerland) · 2022Article
- Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure.Bioengineering (Basel, Switzerland) · 2022Article
- Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The purpose of this research was to determine if the commercially available Perception Neuron motion capture system was valid and reliable in clinically relevant lower limb functional tasks. Twenty healthy participants performed two sessions on different days: gait, squat, single-leg squat, side lunge, forward lunge, and counter-movement jump. Seven IMUs and an OptiTrack system were used to record the three-dimensional joint kinematics of the lower extremity. To evaluate the performance, the multiple correlation coefficient (CMC) and the root mean square error (RMSE) of the waveforms as well as the difference and intraclass correlation coefficient (ICC) of discrete parameters were calculated. In all tasks, the CMC revealed fair to excellent waveform similarity (0.47-0.99) and the RMSE was between 3.57° and 13.14°. The difference between discrete parameters was lower than 14.54°. The repeatability analysis of waveforms showed that the CMC was between 0.54 and 0.95 and the RMSE was less than 5° in the frontal and transverse planes. The ICC of all joint angles in the IMU was general to excellent (0.57-1). Our findings showed that the IMU system might be utilized to evaluate lower extremity 3D joint kinematics in functional motions.
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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.