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Principal component analysis and LMS filtering in removing surface effects from near-infrared spectroscopy signals

Jaakko Virtanen, Tommi Noponen, and Pekka Meriläinen

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Abstract

Signal processing methods can be used to remove surface effects from near-infrared-spectroscopic cerebral signals. In this study we successfully tested two methods: principal component analysis and least-mean-squares filtering.

© 2006 Optical Society of America

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