Wavelet Coefficient Average Value for Prediction of Motor Control Area of Human Brain Using fNIRS
This paper proposed a average threshold algorithm for predicting motor control area of human brain using fNIRS technique. Firstly, data obtained from human brain were pre-processed to reduce noise and artifacts. Thus, the data were analyzed using a decomposition wavelet algorithm with a Bior 5.5 function to produce wavelet coefficients. From these coefficients, one can create a coefficient threshold to determine motor control area as well as to distinguish two brain hemispheres based on oxy hemoglobin (oxy-Hb) concentration. Experimental results for predicting motor control area confirmed the feasibility of the proposed method.
KeywordsWavelet Coefficient average value fNIRS signal motor control area
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