Motion artifact cancellation in NIR spectroscopy using Wiener filtering

Meltem Izzetoglu, Ajit Devaraj, Scott Bunce, Banu Onaral

Research output: Contribution to journalArticlepeer-review

113 Scopus citations

Abstract

We present a Wiener filtering based algorithm for the elimination of motion artifacts present in Near Infrared (NIR) spectroscopy 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.

Original languageEnglish (US)
Pages (from-to)934-938
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number5
DOIs
StatePublished - May 1 2005

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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