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Finger Tapping feature extraction in Parkinson's disease using low-cost accelerometers
Stamatakis, Julien; Cremers, Julien; Macq, Benoït et al.
2010In Proceedings 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010)
Peer reviewed
 

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Keywords :
parkinson's disease; accelerometers
Abstract :
[en] The clinical hallmarks of Parkinson's disease (PD) are movement poverty and slowness (i.e. bradykinesia), muscle rigidity and limb tremor. The physicians usually quantify these motor disturbances by assigning a severity score according to validated but time-consuming clinical scales such as the Unified Parkinson's Disease Rating Scale (UPDRS) - part III. These clinical ratings are however prone to subjectivity and inter-rater variability. The PD medical community is therefore looking for a faster and more objective rating method. As a first step towards this goal, a tri-axial accelerometer-based system is proposed as patients are engaged in a repetitive finger tapping task, which is classically used to assess bradykinesia in the UPDRS-III. After developing the hardware, an algorithm has been developed, that automatically epoched the signal on a trial-by-trial basis and quantified, among others, movement speed, amplitude, hesitations or halts as validated by visual inspection of video recordings during the task. The results obtained in a PD patient and an healthy volunteer are presented. Preliminary results show that PD patients and healthy volunteers have different features profiles, so that a classifier could be set up to predict objective UPDRS-III scores.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Neurology
Computer science
Author, co-author :
Stamatakis, Julien
Cremers, Julien ;  Université de Liège - ULiège > Département des sciences cliniques > Neurologie
Macq, Benoït
Garraux, Gaëtan  ;  Université de Liège - ULiège > Département des sciences cliniques > Neurologie
Language :
English
Title :
Finger Tapping feature extraction in Parkinson's disease using low-cost accelerometers
Publication date :
2010
Event name :
Emerging Technologies for Patient Specific Healthcare. 2010 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010)
Event place :
Corfu, Greece
Journal title :
Proceedings 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010)
Peer reviewed :
Peer reviewed
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
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