On-shoe wearable sensors for gait and turning assessment of patients with Parkinson's disease.

Détails

ID Serval
serval:BIB_92DF746EA261
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
On-shoe wearable sensors for gait and turning assessment of patients with Parkinson's disease.
Périodique
Ieee Transactions On Bio-medical Engineering
Auteur⸱e⸱s
Mariani B., Jiménez M.C., Vingerhoets F.J., Aminian K.
ISSN
1558-2531 (Electronic)
ISSN-L
0018-9294
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
60
Numéro
1
Pages
155-158
Langue
anglais
Notes
Publication types: Journal Article
Résumé
Assessment of locomotion through simple tests such as timed up and go (TUG) or walking trials can provide valuable information for the evaluation of treatment and the early diagnosis of people with Parkinson's disease (PD). Common methods used in clinics are either based on complex motion laboratory settings or simple timing outcomes using stop watches. The goal of this paper is to present an innovative technology based on wearable sensors on-shoe and processing algorithm, which provides outcome measures characterizing PD motor symptoms during TUG and gait tests. Our results on ten PD patients and ten age-matched elderly subjects indicate an accuracy ± precision of 2.8 ± 2.4 cm/s and 1.3 ± 3.0 cm for stride velocity and stride length estimation compared to optical motion capture, with the advantage of being practical to use in home or clinics without any discomfort for the subject. In addition, the use of novel spatio-temporal parameters, including turning, swing width, path length, and their intercycle variability, was also validated and showed interesting tendencies for discriminating patients in ON and OFF states and control subjects.
Pubmed
Web of science
Création de la notice
31/01/2013 18:09
Dernière modification de la notice
20/08/2019 14:55
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