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