Reference : Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple...
Scientific congresses and symposiums : Poster
Human health sciences : Neurology
http://hdl.handle.net/2268/132779
Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis
English
PHAN BA, Remy [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Pierard, Sébastien mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
MOONEN, Gustave mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Van Droogenbroeck, Marc mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Belachew, Shibeshih [Université de Liège - ULg > Département des sciences cliniques > Neurologie >]
11-Oct-2012
Yes
International
28th Congress of the European Committee for Treatment and Research In Multiple Sclerosis
du 10 au 13 octobre 2012
European Committee for Treatment and Research In Multiple Sclerosis
Lyon
France
[en] Gait ; Multiple sclerosis ; outcome measure
[en] Introduction: Walking speed is generally considered as the best outcome measure in trials for people with multiple sclerosis (pMS). We recently designed a device based on range laser scanner capable to track feet paths of walking subjects. Our purpose was to explore gait descriptors of pMS and compare them with those of healthy volunteers (HV). Methods: Fourty-four pMS (considered as moderatly or highly disabled according to a cut-off EDSS value of 3.0) and 28 HV performed 4 walking tasks along 2 trajectories in 3 walking modes. Twenty-six gait descriptors crudely dichotomized in « efficiency» and « quality » of gait were compared in the 2 populations using unpaired t-tests. Results: (i) apart from an older age in pMS, the two populations were comparable, (ii) efficiency of gait descriptors including walking speed distinguished HV from pMS, and pMS with moderate from pMS with high disability, (iii) quality of gait descriptors were also significantly altered in pMS, including in walking tasks where their walking speed was comparable to that of HV. Conclusions: RLS technology can distinguish pMS from HV according to (i) more efficiency of gait descriptors than the sole walking speed and (ii) quality of gait descriptors, including in subjects with a « normal » walking speed.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/132779

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