Journal article
Motion artifact cancellation in NIR spectroscopy using Wiener filtering
IEEE transactions on biomedical engineering, v 52(5), pp 934-938
May 2005
PMID: 15887543
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Motion artifact cancellation in NIR spectroscopy using Wiener filtering
- Creators
- Meltem Izzetoglu - Drexel University, School of Biomedical Engineering, Philadelphia, PA 19104, USA. meltem@cbis.ece.drexel.eduAjit DevarajScott BunceBanu Onaral
- Publication Details
- IEEE transactions on biomedical engineering, v 52(5), pp 934-938
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE); United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000228367700019
- Scopus ID
- 2-s2.0-18744364179
- Other Identifier
- 991014877678404721
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- Web of Science research areas
- Engineering, Biomedical