DocumentCode :
3190365
Title :
GLM analysis of time resolved NIRS data of motor activation during different motor tasks
Author :
Molteni, Erika ; Wabnitz, Heidrun ; Bianchi, A.M. ; Steinkellner, Oliver ; Sander-Thoemmes, Tilmann ; Geisler, Frederik ; Mackert, Bruno-Marcel ; Leistner, Stefanie ; Cerutti, Sergio
Author_Institution :
Politec. di Milano, Milano, Italy
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
1787
Lastpage :
1790
Abstract :
The hemodynamic response to motor activation was investigated by time-resolved NIRS in healthy subjects and patients with unilateral impairment in motor ability. Healthy subjects performed a simple and a complex finger movement task, patients a handgrip task. A General Linear Model approach (GLM) was applied during NIRS data processing. In general, compared to the integral (continuous wave signal), higher significance of activation was found for the variance signal that selectively represents changes in the deep compartment. A discussion of GLM results with respect to task complexity and difficulty is provided.
Keywords :
bioelectric potentials; data analysis; haemodynamics; medical disorders; medical signal processing; time resolved spectra; continuous wave signal; finger movement task; general linear model approach; handgrip task; hemodynamic response; motor ability unilateral impairment; motor activation; motor task; near-infrared spectra; time resolved NIRS data analysis; time resolved NIRS data processing; variance signal; Correlation; Hemodynamics; Market research; Photonics; Thumb; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609868
Filename :
6609868
Link To Document :
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