Literature DB >> 30603212

Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system.

Shiva Sharif Bidabadi1, Iain Murray2, Gabriel Yin Foo Lee3,4.   

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.

Entities:  

Keywords:  Foot drop; Gait analysis; Inertial measurement unit; Pitch angle

Year:  2018        PMID: 30603212      PMCID: PMC6208541          DOI: 10.1007/s13534-018-0072-5

Source DB:  PubMed          Journal:  Biomed Eng Lett        ISSN: 2093-9868


  6 in total

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Authors:  Frank J Wouda; Stephan L J O Jaspar; Jaap Harlaar; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2021-02-17       Impact factor: 4.262

2.  Effect of local somatosensory stimulus on postural sway during sit-to-stand movement in the elderly.

Authors:  Peter Annor; Kiyoung Kwak; Huigyun Kim; Dongwook Kim
Journal:  BMC Musculoskelet Disord       Date:  2021-11-12       Impact factor: 2.362

3.  Vibrotactile somatosensory stimulus to assist the transition from level walking to stair ascent in the elderly: a pilot study.

Authors:  Kiyoung Kwak; Seunghun Ko; Dongwook Kim
Journal:  BMC Musculoskelet Disord       Date:  2022-02-24       Impact factor: 2.362

4.  Changes in sensory, postural stability and gait functions depending on cognitive decline, and possible markers for detection of cognitive status.

Authors:  Emilija Kostic; Kiyoung Kwak; Dongwook Kim
Journal:  BMC Med Inform Decis Mak       Date:  2022-09-22       Impact factor: 3.298

5.  Evaluation of Inertial Sensor Data by a Comparison with Optical Motion Capture Data of Guitar Strumming Gestures.

Authors:  Sérgio Freire; Geise Santos; Augusto Armondes; Eduardo A L Meneses; Marcelo M Wanderley
Journal:  Sensors (Basel)       Date:  2020-10-08       Impact factor: 3.576

6.  Statistical Parametric Mapping Reveals Subtle Gender Differences in Angular Movements in Table Tennis Topspin Backhand.

Authors:  Ziemowit Bańkosz; Sławomir Winiarski
Journal:  Int J Environ Res Public Health       Date:  2020-09-24       Impact factor: 3.390

  6 in total

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