文件名称:10.1.1.122.109
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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.
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.
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