ArticleSensors (Basel, Switzerland)2020
Validity of a New 3-D Motion Analysis Tool for the Assessment of Knee, Hip and Spine Joint Angles during the Single Leg Squat.
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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study.JMIR mHealth and uHealth · 2026Article
- 3D Motion Analysis of Single-leg Squat with Association to Hip Strength and Ankle Dorsiflexion.International journal of exercise science · 2026Article
- Effects of Age and Muscle Activation on Three-Dimensional Spine Kinematics and Asymmetry in Elderly Adults.Journal of clinical medicine · 2025Article
- Exploring the clinical utility of postural outcome tools for back and neck pain clinical outcomes: a systematic scoping review.F1000Research · 2025Article
- Research on the difference of stroke characteristics and stroke effect between different stroke duration of table tennis players.Scientific reports · 2024Article
- SolunumWear: A smart textile system for dynamic respiration monitoring across various postures.iScience · 2024Article
- Kinematic changes of the trunk and lower limbs during voluntary lateral sway postural control in adults with low back pain.Frontiers in bioengineering and biotechnology · 2024Article
- An Analysis of Biomechanical Parameters in OTP Police Physical Intervention Techniques for Occupational Risk Prevention.International journal of environmental research and public health · 2022Article
- Reliability and Validity of an Inertial Measurement System to Quantify Lower Extremity Joint Angle in Functional Movements.Sensors (Basel, Switzerland) · 2022Article
- The Validity of Wireless Earbud-Type Wearable Sensors for Head Angle Estimation and the Relationships of Head with Trunk, Pelvis, Hip, and Knee during Workouts.Sensors (Basel, Switzerland) · 2022Article
- Effects of Knee Flexion Angles on the Joint Force and Muscle Force during Bridging Exercise: A Musculoskeletal Model Simulation.Journal of healthcare engineering · 2022Article
- Reliability and Repeatability of ACL Quick CheckSensors (Basel, Switzerland) · 2021Article
- Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice.Sensors (Basel, Switzerland) · 2021Article
- Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision.Frontiers in neurorobotics · 2021Article
- Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimStudy concurrent validity of a new sensor-based 3D motion capture (MoCap) tool to register knee, hip and spine joint angles during the single leg squat.
designCross-sectional.
settingUniversity laboratory.
participantsForty-four physically active (Tegner ≥ 5) subjects (age 22.8 (±3.3)) Main outcome measures: Sagittal and frontal plane trunk, hip and knee angles at peak knee flexion. The sensor-based system consisted of 4 active (triaxial accelerometric, gyroscopic and geomagnetic) sensors wirelessly connected with an iPad. A conventional passive tracking 3D MoCap (OptiTrack) system served as gold standard.
resultsAll sagittal plane measurement correlations observed were very strong for the knee and hip (
conclusionsThe 3-D MoCap tool has good to excellent criterion validity for sagittal and frontal plane angles occurring in the knee, hip and spine during the single leg squat. This allows bringing this type of easily accessible MoCap technology outside laboratory settings.
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