Document Detail

Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.
MedLine Citation:
PMID:  22462995     Owner:  NLM     Status:  MEDLINE    
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.
C Lainscsek; P Rowat; L Schettino; D Lee; D Song; C Letellier; H Poizner
Related Documents :
22750785 - Prevalence of demodex mites in eyelashes among people of oaxaca, mexico.
21727025 - Interictal high frequency oscillations (hfos) in patients with focal epilepsy and norma...
21635165 - Comparison of cyclodeviation and duction measurement in graves' orbitopathy patients us...
14634375 - Endoscopic renal papillary biopsies: a tissue retrieval technique for histological stud...
19729805 - Autoantibodies to oxidized low density lipoprotein in relation with coronary artery dis...
21978265 - Vascular endothelial growth factor and interleukin-6 are correlated with serous retinal...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Chaos (Woodbury, N.Y.)     Volume:  22     ISSN:  1089-7682     ISO Abbreviation:  Chaos     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-04-02     Completed Date:  2012-07-31     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  100971574     Medline TA:  Chaos     Country:  United States    
Other Details:
Languages:  eng     Pagination:  013119     Citation Subset:  IM    
Institute for Neural Computation, University of California at San Diego, La Jolla, California 92093-0523, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Diagnosis, Computer-Assisted / methods*
Fingers / physiopathology*
Nonlinear Dynamics
Oscillometry / methods*
Parkinson Disease / diagnosis*,  physiopathology*
Physical Examination / methods*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Alternation of regular and chaotic dynamics in a simple two-degree-of-freedom system with nonlinear ...
Next Document:  Stabilization of chaos systems described by nonlinear fractional-order polytopic differential inclus...