Reference : Gait feature extraction in Parkinson's disease using low-cost accelerometers
Scientific congresses and symposiums : Poster
Engineering, computing & technology : Electrical & electronics engineering
Human health sciences : Neurology
http://hdl.handle.net/2268/99032
Gait feature extraction in Parkinson's disease using low-cost accelerometers
English
Stamatakis, Julien [ > > ]
Cremers, Julien mailto [Université de Liège - ULg > Département des sciences cliniques > Neurologie >]
Maquet, Didier mailto [Université de Liège - ULg > Département des sciences de la motricité > Département des sciences de la motricité >]
Macq, Benoît [ > > ]
Garraux, Gaëtan mailto [Université de Liège - ULg > Département des sciences cliniques > Neurologie >]
2011
Yes
International
33rd Annual International IEEE EMBS Conference
30/08/2011-3/9/2011
Boston
USA
[en] parkinson's disease ; inertial sensors ; gait
[en] The clinical hallmarks of Parkinson’s disease (PD) are movement poverty and slowness (i.e. bradykinesia), muscle rigidity, limb tremor or gait disturbances. Parkinson’s gait include slowness, shuffling, short steps, freezing of gait (FoG) and/or asymmetries in gait. There are currently no validated clinical instruments or device that allow a full characterization of gait disturbances in PD. As a step towards this goal, a four accelerometer-based system is proposed to increase the number of parameters that can be extracted to characterize parkinsonian gait disturbances such as FoG or gait asymmetries. After developing the hardware, an algorithm has been developed, that automatically epoched the signals on a stride-by-stride basis and quantified, among others, the gait velocity, the stride time,the stance and swing phases, the single and double support phases or the maximum acceleration at toe-off, as validated by visual inspection of video recordings during the task. The results obtained in a PD patient and an healthy volunteer are presented. The FoG detection will be improved using time-frequency analysis and the system is about to be validated with a state-of-the-art 3D movement analysis system.
Centre de Recherches du Cyclotron - CRC
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA
Researchers ; Professionals
http://hdl.handle.net/2268/99032
http://embc2011.embs.org/

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