Gait analysis; Machine learning; range finder lasers
Abstract :
[en] Among voluntary movements, gait is the most affected by multiple sclerosis. Gait impairment
is also a good indicator of the disease progression. However, measurement of gait character-
istics made by neurologists is usually limited to the use of a stopwatch. The GAit Measuring
System (GAIMS), provides a wider range of measurements that allow the definition of
several relevant gait descriptors. The work presented here shows the effectiveness of these
gait descriptors and machine learning techniques to discriminate between healthy persons
and patients with multiple sclerosis.
Research center :
Signal and Image Exploitation (INTELSIG), Intelsig
Disciplines :
Electrical & electronics engineering
Author, co-author :
Azrour, Samir ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Pierard, Sébastien ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Van Droogenbroeck, Marc ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Language :
English
Title :
Using GAit Measuring System (GAIMS) to discriminate patients with multiple sclerosis from healthy person
Publication date :
07 November 2013
Event name :
Workshop on measurement : Challenges and Opportunities
Event organizer :
Belgian Measurement Confederation (BEMEKO)
Event place :
Liège, Belgium
Event date :
7 novembre 2013
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE] SPW DGO6 - Service Public de Wallonie. Economie, Emploi, Recherche [BE]
