DocumentCode :
2856508
Title :
Principal component analysis of galvanic skin responses
Author :
Tarvainen, M.P. ; Karjalainen, P.A. ; Koistinen, A.S. ; Valkonen-Korhonen, M.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
3011
Abstract :
The galvanic skin response (GSR) is a simple method of capturing the autonomic nerve response as a parameter of the sweat gland function. Any stimulus capable of an arousal effect can evoke the response and the amplitude of the response is more dependent on the surprise effect of the stimulus than on the physical stimulus strength. In this paper principal component analysis (PCA) is used for the analysis of the evoked GSRs. Basis functions are obtained from the eigendecomposition of the data correlation matrix. Because PCA is the best mean square fit of a set of orthogonal functions to the set of measurements, the solution will depend upon the nature of measurements. The dimensionality of measurements can be estimated by the number of basis functions needed to estimate measurements in a certain accuracy. Hence the eigenvalues, corresponding to used basis functions, are a measure of similarity. The method was tested using 20 healthy subjects and 13 psychotic patients. 11 surprising auditory stimuli were delivered at irregular intervals and evoked GSRs were recorded from the hand. Observed similarities between adjacent waveforms were more remarkable within healthy subjects
Keywords :
bioelectric phenomena; medical signal processing; neurophysiology; principal component analysis; skin; autonomic nerve response; basis functions; data correlation matrix; eigendecomposition; galvanic skin responses; hand recordings; healthy subjects; irregular intervals; measurements dimensionality; psychotic patients; surprising auditory stimuli; sweat gland function parameter; Covariance matrix; Eigenvalues and eigenfunctions; Galvanizing; Noise measurement; Occupational health; Physics; Principal component analysis; Psychology; Skin; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.901513
Filename :
901513
Link To Document :
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