Literature DB >> 20656291

3D gait assessment in young and elderly subjects using foot-worn inertial sensors.

Benoit Mariani1, Constanze Hoskovec, Stephane Rochat, Christophe Büla, Julien Penders, Kamiar Aminian.   

Abstract

This study describes the validation of a new wearable system for assessment of 3D spatial parameters of gait. The new method is based on the detection of temporal parameters, coupled to optimized fusion and de-drifted integration of inertial signals. Composed of two wirelesses inertial modules attached on feet, the system provides stride length, stride velocity, foot clearance, and turning angle parameters at each gait cycle, based on the computation of 3D foot kinematics. Accuracy and precision of the proposed system were compared to an optical motion capture system as reference. Its repeatability across measurements (test-retest reliability) was also evaluated. Measurements were performed in 10 young (mean age 26.1±2.8 years) and 10 elderly volunteers (mean age 71.6±4.6 years) who were asked to perform U-shaped and 8-shaped walking trials, and then a 6-min walking test (6MWT). A total of 974 gait cycles were used to compare gait parameters with the reference system. Mean accuracy±precision was 1.5±6.8cm for stride length, 1.4±5.6cm/s for stride velocity, 1.9±2.0cm for foot clearance, and 1.6±6.1° for turning angle. Difference in gait performance was observed between young and elderly volunteers during the 6MWT particularly in foot clearance. The proposed method allows to analyze various aspects of gait, including turns, gait initiation and termination, or inter-cycle variability. The system is lightweight, easy to wear and use, and suitable for clinical application requiring objective evaluation of gait outside of the lab environment.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20656291     DOI: 10.1016/j.jbiomech.2010.07.003

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  76 in total

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3.  The effect of treadmill and overground walking on preferred walking speed and gait kinematics in healthy, physically active older adults.

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4.  A wrist sensor and algorithm to determine instantaneous walking cadence and speed in daily life walking.

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5.  Reconstruction of body motion during self-reported losses of balance in community-dwelling older adults.

Authors:  Lauro V Ojeda; Peter G Adamczyk; John R Rebula; Linda V Nyquist; Debra M Strasburg; Neil B Alexander
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Review 6.  Spatiotemporal gait analysis of older persons in clinical practice and research : Which parameters are relevant?

Authors:  Ulrich Lindemann
Journal:  Z Gerontol Geriatr       Date:  2019-02-15       Impact factor: 1.281

7.  Measurement of foot placement and its variability with inertial sensors.

Authors:  John R Rebula; Lauro V Ojeda; Peter G Adamczyk; Arthur D Kuo
Journal:  Gait Posture       Date:  2013-06-26       Impact factor: 2.840

Review 8.  Objective and quantitative assessment of motor function in Parkinson's disease-from the perspective of practical applications.

Authors:  Ke Yang; Wei-Xi Xiong; Feng-Tao Liu; Yi-Min Sun; Susan Luo; Zheng-Tong Ding; Jian-Jun Wu; Jian Wang
Journal:  Ann Transl Med       Date:  2016-03

9.  Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study.

Authors:  Emeline Simonetti; Elena Bergamini; Giuseppe Vannozzi; Joseph Bascou; Hélène Pillet
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

10.  Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors.

Authors:  Yosuke Tomita; Tomoki Iizuka; Koichi Irisawa; Shigeyuki Imura
Journal:  Sensors (Basel)       Date:  2021-05-24       Impact factor: 3.576

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