Literature DB >> 27395370

Comparison between passive vision-based system and a wearable inertial-based system for estimating temporal gait parameters related to the GAITRite electronic walkway.

Iván González1, Irvin H López-Nava2, Jesús Fontecha3, Angélica Muñoz-Meléndez4, Alberto I Pérez-SanPablo5, Ivett Quiñones-Urióstegui6.   

Abstract

Quantitative gait analysis allows clinicians to assess the inherent gait variability over time which is a functional marker to aid in the diagnosis of disabilities or diseases such as frailty, the onset of cognitive decline and neurodegenerative diseases, among others. However, despite the accuracy achieved by the current specialized systems there are constraints that limit quantitative gait analysis, for instance, the cost of the equipment, the limited access for many people and the lack of solutions to consistently monitor gait on a continuous basis. In this paper, two low-cost systems for quantitative gait analysis are presented, a wearable inertial system that relies on two wireless acceleration sensors mounted on the ankles; and a passive vision-based system that externally estimates the measurements through a structured light sensor and 3D point-cloud processing. Both systems are compared with a reference clinical instrument using an experimental protocol focused on the feasibility of estimating temporal gait parameters over two groups of healthy adults (five elders and five young subjects) under controlled conditions. The error of each system regarding the ground truth is computed. Inter-group and intra-group analyses are also conducted to transversely compare the performance between both technologies, and of these technologies with respect to the reference system. The comparison under controlled conditions is required as a previous stage towards the adaptation of both solutions to be incorporated into Ambient Assisted Living environments and to provide continuous in-home gait monitoring as part of the future work.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer sensor; Ambient Assisted Living environments; Clinical protocol; Quantitative gait analysis; Temporal gait parameters; Vision system

Mesh:

Year:  2016        PMID: 27395370     DOI: 10.1016/j.jbi.2016.07.009

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  6 in total

1.  Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea.

Authors:  Iván González; Jesús Fontecha; Ramón Hervás; José Bravo
Journal:  J Med Syst       Date:  2016-10-06       Impact factor: 4.460

2.  Vision-based gait impairment analysis for aided diagnosis.

Authors:  Javier Ortells; María Trinidad Herrero-Ezquerro; Ramón A Mollineda
Journal:  Med Biol Eng Comput       Date:  2018-02-12       Impact factor: 2.602

3.  Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders.

Authors:  Can Tunca; Nezihe Pehlivan; Nağme Ak; Bert Arnrich; Gülüstü Salur; Cem Ersoy
Journal:  Sensors (Basel)       Date:  2017-04-11       Impact factor: 3.576

4.  Estimation of Temporal Gait Parameters Using a Human Body Electrostatic Sensing-Based Method.

Authors:  Mengxuan Li; Pengfei Li; Shanshan Tian; Kai Tang; Xi Chen
Journal:  Sensors (Basel)       Date:  2018-05-28       Impact factor: 3.576

5.  Validation of Marker-Less System for the Assessment of Upper Joints Reaction Forces in Exoskeleton Users.

Authors:  Simone Pasinetti; Cristina Nuzzi; Nicola Covre; Alessandro Luchetti; Luca Maule; Mauro Serpelloni; Matteo Lancini
Journal:  Sensors (Basel)       Date:  2020-07-13       Impact factor: 3.576

Review 6.  Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.

Authors:  Dylan Kobsar; Jesse M Charlton; Calvin T F Tse; Jean-Francois Esculier; Angelo Graffos; Natasha M Krowchuk; Daniel Thatcher; Michael A Hunt
Journal:  J Neuroeng Rehabil       Date:  2020-05-11       Impact factor: 4.262

  6 in total

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