Literature DB >> 16500102

Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals.

Jan M Jasiewicz1, John H J Allum, James W Middleton, Andrew Barriskill, Peter Condie, Brendan Purcell, Raymond Che Tin Li.   

Abstract

We report on three different methods of gait event detection (toe-off and heel strike) using miniature linear accelerometers and angular velocity transducers in comparison to using standard pressure-sensitive foot switches. Detection was performed with normal and spinal-cord injured subjects. The detection of end contact (EC), normally toe-off, and initial contact (IC) normally, heel strike was based on either foot linear accelerations or foot sagittal angular velocity or shank sagittal angular velocity. The results showed that all three methods were as accurate as foot switches in estimating times of IC and EC for normal gait patterns. In spinal-cord injured subjects, shank angular velocity was significantly less accurate (p<0.02). We conclude that detection based on foot linear accelerations or foot angular velocity can correctly identify the timing of IC and EC events in both normal and spinal-cord injured subjects.

Entities:  

Mesh:

Year:  2006        PMID: 16500102     DOI: 10.1016/j.gaitpost.2005.12.017

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  59 in total

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3.  Reliability of the step phase detection using inertial measurement units: pilot study.

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

Authors:  Benedikt Fasel; Cyntia Duc; Farzin Dadashi; Flavien Bardyn; Martin Savary; Pierre-André Farine; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-02-14       Impact factor: 2.602

5.  Abnormal muscle activation patterns are associated with chronic gait deficits following traumatic brain injury.

Authors:  Samuel A Acuña; Mitchell E Tyler; Yuri P Danilov; Darryl G Thelen
Journal:  Gait Posture       Date:  2018-04-12       Impact factor: 2.840

6.  Gait event detection using inertial measurement units in people with transfemoral amputation: a comparative study.

Authors:  Emeline Simonetti; Coralie Villa; Joseph Bascou; Giuseppe Vannozzi; Elena Bergamini; Hélène Pillet
Journal:  Med Biol Eng Comput       Date:  2019-12-23       Impact factor: 2.602

7.  Quantitative measurement of Parkinsonian gait from walking in monocular image sequences using a centroid tracking algorithm.

Authors:  Sheng-Huang Lin; Shih-Wei Chen; Yu-Chun Lo; Hsin-Yi Lai; Chich-Haung Yang; Shin-Yuan Chen; Yuan-Jen Chang; Chin-Hsing Chen; Wen-Tzeng Huang; Fu-Shan Jaw; You-Yin Chen; Siny Tsang; Lun-De Liao
Journal:  Med Biol Eng Comput       Date:  2015-06-25       Impact factor: 2.602

8.  Control of triceps surae stimulation based on shank orientation using a uniaxial gyroscope during gait.

Authors:  C C Monaghan; W J B M van Riel; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2009-10-15       Impact factor: 2.602

9.  Adaptive windowing for gait phase discrimination in Parkinsonian gait using 3-axis acceleration signals.

Authors:  Jonghee Han; Hyo Seon Jeon; Won Jin Yi; Beom Seok Jeon; Kwang Suk Park
Journal:  Med Biol Eng Comput       Date:  2009-08-20       Impact factor: 2.602

10.  Energetics and mechanics of walking in patients with chronic low back pain and healthy matched controls.

Authors:  Yves Henchoz; Nicola Soldini; Nicolas Peyrot; Davide Malatesta
Journal:  Eur J Appl Physiol       Date:  2015-07-26       Impact factor: 3.078

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