a Wiener filtering based algorithm for the elimination

of motion artifacts present in Near Infrared (NIR)spectr oscopy

measurements. Until now, adaptive filtering was the only technique used in

the noise cancellation in NIR studies. The results in this preliminary study

revealed that the proposed method gives better estimates than the classical

adaptive filtering approach without the need for additional sensor measurements.

Moreover, this novel technique has the potential to filter out motion

artifacts in functional near infrared (fNIR)signals, too.