Algorithm for Temporal Gait Analysis Using Wireless Foot-Mounted Accelerometers

Boutaayamou, Mohamed; Denoël, Vincent; Bruls, Olivier; Demonceau, Marie; Maquet, Didier; Forthomme, Bénédicte; Croisier, Jean-Louis; Schwartz, Cédric; Verly, Jacques; Garraux, Gaëtan

doi:10.1007/978-3-319-54717-6_14

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Algorithm for Temporal Gait Analysis Using Wireless Foot-Mounted Accelerometers

Boutaayamou, Mohamed; Denoël, Vincent; Bruls, Olivier et al.

2017 • In Biomedical Engineering Systems and Technologies

Peer reviewed

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https://hdl.handle.net/2268/207247

DOI
10.1007/978-3-319-54717-6_14

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Keywords :

Gait analysis; Wearable accelerometers; Wavelet analysis; Validation; Gait segmentation; Gait events; Heel-off; Heel strike; Toe strike; Toe-off; Heel clearance; Stance time; Swing time; Stride time

Abstract :

[en] We present a new signal processing algorithm that extracts five gait events: heel strike, toe strike, heel-off, toe-off, and heel clearance from only two accelerometers attached on the heels of the subjects usual shoes. This algorithm first uses a continuous wavelet-based segmentation that parses the signal of consecutive strides into motionless periods defining relevant local acceleration signals. Then, the algorithm uses versatile techniques to accurately extract the five gait events from these local acceleration signals. We validated, on a stride-by-stride basis, the extraction of these gait events by comparing the results with reference data provided by a kinematic 3D analysis system and a video camera. The accuracy and precision achieved by the extraction algorithm for healthy subjects, the reduced number of accelerometer units required, and the validation results obtained, encourage us to further study this system in pathological conditions.

Research center :

Laboratoire d'Analyse du Mouvement Humain (LAMH) / Signal and Image Exploitation (INTELSIG) - University of Liège, Liège, Belgium

Disciplines :

Electrical & electronics engineering

Author, co-author :

Boutaayamou, Mohamed ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images

Denoël, Vincent ; Université de Liège > Département ArGEnCo > Analyse sous actions aléatoires en génie civil

Bruls, Olivier ; Université de Liège > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques

Demonceau, Marie ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation

Maquet, Didier ; Université de Liège > Département des sciences de la motricité > Département des sciences de la motricité

Forthomme, Bénédicte ; Université de Liège > Département des sciences de la motricité > Rééducation du membre supérieur

Croisier, Jean-Louis ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation

Schwartz, Cédric ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation

Verly, Jacques ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images

Garraux, Gaëtan ; Université de Liège > Département des sciences biomédicales et précliniques > Biochimie et physiologie du système nerveux

Language :

English

Title :

Algorithm for Temporal Gait Analysis Using Wireless Foot-Mounted Accelerometers

Publication date :

2017

Event name :

BIOSTEC

Event date :

2016

Audience :

International

Main work title :

Biomedical Engineering Systems and Technologies

Publisher :

Springer

ISBN/EAN :

978-3-319-54716-9

Peer reviewed :

Peer reviewed

Available on ORBi :

since 10 February 2017

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