ArticlePloS one2019
Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
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Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it.
- In vivo biomechanics after total hip arthroplasty: a state-of-the-art systematic review.EFORT open reviews · 2026Pooled it
- Intra-Rater and Test-Retest Reliability of Kinovea for the Kinematic Analysis of Squatting in Healthy Active Women.Sensors (Basel, Switzerland) · 2026Article
- A High-Frequency Wearable IMU-Based System for Countermovement Jump Assessment.Sensors (Basel, Switzerland) · 2026Article
- Comparison of 3D ankle kinematics between minimal inertial measurement units configuration and optical motion capture system under diverse walking conditions.Scientific reports · 2026Article
- Reliability and criterion validity of a wearable IMU for ankle joint position sense: agreement with isokinetic dynamometry and discrimination of chronic ankle instability.BMC sports science, medicine & rehabilitation · 2026Article
- Intelligent prediction of dynamic characteristics during exercise in patients with stroke.Journal of neuroengineering and rehabilitation · 2025Article
- Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks.Sensors (Basel, Switzerland) · 2025Article
- Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study.JMIR rehabilitation and assistive technologies · 2025Article
- The influence of ergonomic factors on the work conditions of paramedics during the rescue of trauma patients in an ambulance.Heliyon · 2025Article
- Comparative analysis of spatiotemporal gait parameters in patients with distal femoral megaprosthesis and healthy subjects using an inertial measurement unit (IMU).Wearable technologies · 2025Article
- Assessing real-world movements using consumer-grade wearable devices: Measuring segment orientations and movement quality.Wearable technologies · 2025Article
- Evaluating functional outcomes and quality of life in musculoskeletal tumor patients with distal femoral megaprostheses: a case-control study.World journal of surgical oncology · 2024Article
- Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision.Data in brief · 2024Article
- Article
- Assessing the Validity of the Ergotex IMU in Joint Angle Measurement: A Comparative Study with Optical Tracking Systems.Sensors (Basel, Switzerland) · 2024Observational
- Concurrent Validity of the Ergotex Device for Measuring Low Back Posture.Bioengineering (Basel, Switzerland) · 2024Article
- Sagittal plane knee kinematics can be measured during activities of daily living following total knee arthroplasty with two IMU.PloS one · 2024Article
- Residual kinematic deviations of the shoulder during humeral elevation after conservative treatment for mid-shaft clavicle fractures.Frontiers in bioengineering and biotechnology · 2024Article
- Characterization of Upper Extremity Kinematics Using Virtual Reality Movement Tasks and Wearable IMU Technology.Sensors (Basel, Switzerland) · 2023Article
- Smartwatch-Based Prediction of Single-Stride and Stride-to-Stride Gait Outcomes Using Regression-Based Machine Learning.Annals of biomedical engineering · 2023Article
1 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
3D joint kinematics can provide important information about the quality of movements. Optical motion capture systems (OMC) are considered the gold standard in motion analysis. However, in recent years, inertial measurement units (IMU) have become a promising alternative. The aim of this study was to validate IMU-based 3D joint kinematics of the lower extremities during different movements. Twenty-eight healthy subjects participated in this study. They performed bilateral squats (SQ), single-leg squats (SLS) and countermovement jumps (CMJ). The IMU kinematics was calculated using a recently-described sensor-fusion algorithm. A marker based OMC system served as a reference. Only the technical error based on algorithm performance was considered, incorporating OMC data for the calibration, initialization, and a biomechanical model. To evaluate the validity of IMU-based 3D joint kinematics, root mean squared error (RMSE), range of motion error (ROME), Bland-Altman (BA) analysis as well as the coefficient of multiple correlation (CMC) were calculated. The evaluation was twofold. First, the IMU data was compared to OMC data based on marker clusters; and, second based on skin markers attached to anatomical landmarks. The first evaluation revealed means for RMSE and ROME for all joints and tasks below 3°. The more dynamic task, CMJ, revealed error measures approximately 1° higher than the remaining tasks. Mean CMC values ranged from 0.77 to 1 over all joint angles and all tasks. The second evaluation showed an increase in the RMSE of 2.28°- 2.58° on average for all joints and tasks. Hip flexion revealed the highest average RMSE in all tasks (4.87°- 8.27°). The present study revealed a valid IMU-based approach for the measurement of 3D joint kinematics in functional movements of varying demands. The high validity of the results encourages further development and the extension of the present approach into clinical settings.
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