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. © 2013 IFMBE.
CITATION STYLE
Nguyen, T. N., Nguyen, T. H., & Nguyen, T. T. (2013). Wavelet coefficient average value for prediction of motor control area of human brain using fNIRS. In IFMBE Proceedings (Vol. 40 IFMBE, pp. 270–274). https://doi.org/10.1007/978-3-642-32183-2_68
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