DocumentCode :
2503071
Title :
EMG and acceleration signal analysis for quantifying the effects of medication in Parkinson´s disease
Author :
Rissanen, Saara M. ; Kankaanpää, Markku ; Tarvainen, Mika P. ; Nuutinen, Juho ; Airaksinen, Olavi ; Karjalainen, Pasi A.
Author_Institution :
Dept. of Appl. Phys., Univ. of Eastern Finland, Kuopio, Finland
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
7496
Lastpage :
7499
Abstract :
Parkinson´s disease (PD) is characterized by motor disabilities that can be alleviated reasonably with appropriate medication. However, there is a lack of objective methods for quantifying the efficacy of treatment in PD. We applied here an objective method for quantifying the effects of medication in PD using EMG and acceleration measurements and analysis. In the method, four signal features were calculated from the EMG and acceleration recordings of both sides of the body: the kurtosis and recurrence rate of EMG, and the amplitude and sample entropy of acceleration. Principal component approach was used for reducing the number of variables. EMG and acceleration data measured from nine PD patients were used for analysis. The patients were measured in four different medication conditions: with medication off, and two and three and four hours after taking the medication. The results showed that in eight patients the EMG recordings changed into less spiky and the acceleration recordings into more complex after taking the medication. A reverse phenomenon in the signal characteristics was observed in seven patients 3-4 hours after taking the medication. The results indicate that the presented method is potentially useful for quantifying objectively the effects of medication on the neuromuscular function in PD.
Keywords :
diseases; electromyography; entropy; medical signal processing; neurophysiology; principal component analysis; EMG recordings; Parkinson disease; acceleration measurements; acceleration recordings; acceleration signal analysis; entropy; kurtosis; motor disability; neuromuscular function; principal component approach; signal characteristics; signal features; Acceleration; Educational institutions; Electromyography; Entropy; Medical diagnostic imaging; Parkinson´s disease; Vectors; Acceleration; Aged; Electromyography; Female; Humans; Male; Middle Aged; Motor Activity; Parkinson Disease; Principal Component Analysis; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091848
Filename :
6091848
Link To Document :
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