Document Detail


Variability in Cadence During Forced Cycling Predicts Motor Improvement in Individuals With Parkinson's Disease.
MedLine Citation:
PMID:  23144045     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Variability in severity and progression of Parkinsons disease symptoms makes it challenging to design therapy interventions that provide maximal benefit. Previous studies showed that forced cycling, at greater pedaling rates, results in greater improvements in motor function than voluntary cycling. The precise mechanism for differences in function following exercise is unknown. We examined the complexity of biomechanical and physiological features of forced and voluntary cycling and correlated these features to improvements in motor function as measured by the Unified Parkinsons Disease Rating Scale (UPDRS). Heart rate, cadence and power were analyzed using entropy signal processing techniques. Pattern variability in heart rate and power were greater in the voluntary group when compared to forced group. In contrast, variability in cadence was higher during forced cycling. UPDRS Motor III scores predicted from the pattern variability data were highly correlated to measured scores in the forced group. This study shows how time series analysis methods of biomechanical and physiological parameters of exercise can be used to predict improvements in motor function. This knowledge will be important in the development of optimal exercise-based rehabilitation programs for Parkinsons disease.
Authors:
A Ridgel; H Abdar; J Alberts; F Discenzo; K Loparo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-24
Journal Detail:
Title:  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  -     ISSN:  1558-0210     ISO Abbreviation:  IEEE Trans Neural Syst Rehabil Eng     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-11-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101097023     Medline TA:  IEEE Trans Neural Syst Rehabil Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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