ArticleBiomedical engineering letters2018
Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system.
Article in Biomedical engineering letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Validity of a wireless instrumented insole (WalkinSense system) for measuring gait metrics.Journal of experimental orthopaedics · 2025Article
- A Multi-sensor Gait Dataset Collected Under Non-standardized Dual-Task Conditions.Scientific data · 2025Article
- Kinematics of Topspin Stroke Combinations in Table Tennis and its Inter-Individual Variability.Journal of sports science & medicine · 2025Review
- Validation of IMU against optical reference and development of open-source pipeline: proof of concept case report in a participant with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant.Journal of neuroengineering and rehabilitation · 2024Article
- An Investigation of Running Kinematics with Recovered Anterior Cruciate Ligament Reconstruction on a Treadmill and In-Field Using Inertial Measurement Units: A Preliminary Study.Bioengineering (Basel, Switzerland) · 2024Article
- Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training.Sensors (Basel, Switzerland) · 2023Article
- Changes in sensory, postural stability and gait functions depending on cognitive decline, and possible markers for detection of cognitive status.BMC medical informatics and decision making · 2022Article
- Vibrotactile somatosensory stimulus to assist the transition from level walking to stair ascent in the elderly: a pilot study.BMC musculoskeletal disorders · 2022Article
- Effect of local somatosensory stimulus on postural sway during sit-to-stand movement in the elderly.BMC musculoskeletal disorders · 2021Article
- Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial.JMIR rehabilitation and assistive technologies · 2021Article
- Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty.Sensors (Basel, Switzerland) · 2021Article
- Foot progression angle estimation using a single foot-worn inertial sensor.Journal of neuroengineering and rehabilitation · 2021Article
- The Application of Statistical Parametric Mapping to Evaluate Differences in Topspin Backhand between Chinese and Polish Female Table Tennis Players.Applied bionics and biomechanics · 2021Article
- Evaluation of Inertial Sensor Data by a Comparison with Optical Motion Capture Data of Guitar Strumming Gestures.Sensors (Basel, Switzerland) · 2020Article
- Statistical Parametric Mapping Reveals Subtle Gender Differences in Angular Movements in Table Tennis Topspin Backhand.International journal of environmental research and public health · 2020Article
- Gender Differences in Kinematic Parameters of Topspin Forehand and Backhand in Table Tennis.International journal of environmental research and public health · 2020Article
- Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques.Sensors (Basel, Switzerland) · 2019Article
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3 authors.
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Abstract
Gait analysis is relevant to a broad range of clinical applications in areas of orthopedics, neurosurgery, rehabilitation and the sports medicine. There are various methods available for capturing and analyzing the gait cycle. Most of gait analysis methods are computationally expensive and difficult to implement outside the laboratory environment. Inertial measurement units, IMUs are considered a promising alternative for the future of gait analysis. This study reports the results of a systematic validation procedure to validate the foot pitch angle measurement captured by an IMU against Vicon Optical Motion Capture System, considered the standard method of gait analysis. It represents the first phase of a research project which aims to objectively evaluate the ankle function and gait patterns of patients with dorsiflexion weakness (commonly called a "drop foot") due to a L5 lumbar radiculopathy pre- and post-lumbar decompression surgery. The foot pitch angle of 381 gait cycles from 19 subjects walking trails on a flat surface have been recorded throughout the course of this study. Comparison of results indicates a mean correlation of 99.542% with a standard deviation of 0.834%. The maximum root mean square error of the foot pitch angle measured by the IMU compared with the Vicon Optical Motion Capture System was 3.738° and the maximum error in the same walking trail between two measurements was 9.927°. These results indicate the level of correlation between the two systems.
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