Testing for Nonlinearity in Functional Near-Infrared Spectroscopy of Brain Activities by Surrogate Data Methods

The Journal of Physiological Sciences

Hoang M. Thang¹  Truong Q.D. Khoa¹  Masahiro Nakagawa¹ 

[1] Chaos and Fractals Laboratory, Department of Electrical Engineering, Nagaoka University of Technology

关键词: nonlinearity;    surrogate;    functional near-infrared spectroscopy;    biomedical;    signal analysis;   

DOI  :  10.2170/physiolsci.RP012707

学科分类：生理学

来源: Springer

【 摘 要 】

References(15)Cited-By(1)Methods of contemporary physics are increasingly important for biomedical research. For a multitude of diverse reasons there exists a gap between the practitioners of biomedicine and modern physics methodologies. In this work, the technique of surrogate data has been used as a method to test for the linearity or nonlinearity of biomedical functional near-infrared spectroscopy (fNIRS) signals observing brain activities. Throughout three different surrogate tests, the third-order autocovariance, the asymmetry resulting from time reversal, and the delay vector variance, the dynamic response of brain activities through fNIRS biomedical signals is very likely to be a nonlinear system.

【 授权许可】

Unknown