Literature DB >> 24044970

Spatio-temporal gait analysis in children with cerebral palsy using, foot-worn inertial sensors.

A Brégou Bourgeois1, B Mariani, K Aminian, P Y Zambelli, C J Newman.   

Abstract

A child's natural gait pattern may be affected by the gait laboratory environment. Wearable devices using body-worn sensors have been developed for gait analysis. The purpose of this study was to validate and explore the use of foot-worn inertial sensors for the measurement of selected spatio-temporal parameters, based on the 3D foot trajectory, in independently walking children with cerebral palsy (CP). We performed a case control study with 14 children with CP aged 6-15 years old and 15 age-matched controls. Accuracy and precision of the foot-worn device were measured using an optical motion capture system as the reference system. Mean accuracy ± precision for both groups was 3.4 ± 4.6 cm for stride length, 4.3 ± 4.2 cm/s for speed and 0.5 ± 2.9° for strike angle. Longer stance and shorter swing phases with an increase in double support were observed in children with CP (p=0.001). Stride length, speed and peak angular velocity during swing were decreased in paretic limbs, with significant differences in strike and lift-off angles. Children with cerebral palsy showed significantly higher inter-stride variability (measured by their coefficient of variation) for speed, stride length, swing and stance. During turning trajectories speed and stride length decreased significantly (p<0.01) for both groups, whereas stance increased significantly (p<0.01) in CP children only. Foot-worn inertial sensors allowed us to analyze gait spatiotemporal data outside a laboratory environment with good accuracy and precision and congruent results with what is known of gait variations during linear walking in children with CP.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebral palsy; Child; Gait analysis; Inertial sensors

Mesh:

Year:  2013        PMID: 24044970     DOI: 10.1016/j.gaitpost.2013.08.029

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


  20 in total

1.  Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy.

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Journal:  Front Hum Neurosci       Date:  2022-06-02       Impact factor: 3.473

2.  Quantitative assessment of lower limbs gross motor function in children with cerebral palsy based on surface EMG and inertial sensors.

Authors:  Xiang Chen; Qi Wu; Lu Tang; Shuai Cao; Xu Zhang; Xun Chen
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

3.  Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions.

Authors:  J Soulard; J Vaillant; R Balaguier; N Vuillerme
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

4.  Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data.

Authors:  Jens Barth; Cäcilia Oberndorfer; Cristian Pasluosta; Samuel Schülein; Heiko Gassner; Samuel Reinfelder; Patrick Kugler; Dominik Schuldhaus; Jürgen Winkler; Jochen Klucken; Björn M Eskofier
Journal:  Sensors (Basel)       Date:  2015-03-17       Impact factor: 3.576

5.  Gait alterations during walking with partial body weight supported on a treadmill and over the ground.

Authors:  Ana Maria F Barela; Gabriela L Gama; Douglas V Russo-Junior; Melissa L Celestino; José A Barela
Journal:  Sci Rep       Date:  2019-05-31       Impact factor: 4.379

6.  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

Review 7.  Effect of rhythmic auditory cueing on gait in cerebral palsy: a systematic review and meta-analysis.

Authors:  Shashank Ghai; Ishan Ghai; Alfred O Effenberg
Journal:  Neuropsychiatr Dis Treat       Date:  2017-12-22       Impact factor: 2.570

8.  What is the Best Configuration of Wearable Sensors to Measure Spatiotemporal Gait Parameters in Children with Cerebral Palsy?

Authors:  Lena Carcreff; Corinna N Gerber; Anisoara Paraschiv-Ionescu; Geraldo De Coulon; Christopher J Newman; Stéphane Armand; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2018-01-30       Impact factor: 3.576

9.  Study on Tripping Risks in Fast Walking through Cadence-Controlled Gait Analysis.

Authors:  Wen-Fong Wang; Wei-Chih Lien; Che-Yu Liu; Ching-Yu Yang
Journal:  J Healthc Eng       Date:  2018-05-24       Impact factor: 2.682

10.  Protocol of changes induced by early Hand-Arm Bimanual Intensive Therapy Including Lower Extremities (e-HABIT-ILE) in pre-school children with bilateral cerebral palsy: a multisite randomized controlled trial.

Authors:  Rodrigo Araneda; Stephane V Sizonenko; Christopher J Newman; Mickael Dinomais; Gregoire Le Gal; Daniela Ebner-Karestinos; Julie Paradis; Anne Klöcker; Geoffroy Saussez; Josselin Demas; Rodolphe Bailly; Sandra Bouvier; Emmanuel Nowak; Andrea Guzzetta; Inmaculada Riquelme; Sylvain Brochard; Yannick Bleyenheuft
Journal:  BMC Neurol       Date:  2020-06-12       Impact factor: 2.474

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