Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations

DSpace/Manakin Repository

Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations

Show full item record


Title: Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations
Author: Lainscsek, C.; Rowat, P.; Schettino, Luis; Lee, D.; Song, D.; Letellier, C.; Poizner, H.
Abstract: Parkinson's disease is a degenerative condition whose severity is assessed by clinical observations of motor behaviors. These are performed by a neurological specialist through subjective ratings of a variety of movements including 10-s bouts of repetitive finger-tapping movements. We present here an algorithmic rating of these movements which may be beneficial for uniformly assessing the progression of the disease. Finger-tapping movements were digitally recorded from Parkinson's patients and controls, obtaining one time series for every 10 s bout. A nonlinear delay differential equation, whose structure was selected using a genetic algorithm, was fitted to each time series and its coefficients were used as a six-dimensional numerical descriptor. The algorithm was applied to time-series from two different groups of Parkinson's patients and controls. The algorithmic scores compared favorably with the unified Parkinson's disease rating scale scores, at least when the latter adequately matched with ratings from the Hoehn and Yahr scale. Moreover, when the two sets of mean scores for all patients are compared, there is a strong (r = 0.785) and significant (p < 0.0015) correlation between them.
URI: http://hdl.handle.net/10385/985
Date: 2012-03

Files in this item

Files Size Format View
Schettino-Chaos-vol22-2012.pdf 1.402Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search LDR


Advanced Search

Browse

My Account