Abstract
fNIRS signal are prone to body movement artifacts that present themselves in various distortions on the raw data. Precise and accurate detection of such motion artifacts is essential to improve the SNR. In this paper, we propose a method based on the continuous wavelet transform to automatically detect and localize the motion artifacts. We validated the efficacy of the method on simulated and real fNIRS signals.
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