DocumentCode :
778399
Title :
Motion artifact cancellation in NIR spectroscopy using Wiener filtering
Author :
Izzetoglu, Meltem ; Devaraj, Ajit ; Bunce, Scott ; Onaral, Banu
Author_Institution :
Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
Volume :
52
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
934
Lastpage :
938
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.
Keywords :
Wiener filters; biomechanics; biomedical optical imaging; infrared imaging; infrared spectroscopy; medical image processing; Wiener filtering; motion artifact cancellation; near infrared spectroscopy; noise cancellation; Adaptive filters; Biomedical engineering; Biomedical measurements; Biomedical optical imaging; Humans; Infrared spectra; Optical scattering; Spectroscopy; Wavelength measurement; Wiener filter; Motion artifact cancellation; NIR spectroscopy; Wiener filtering; Algorithms; Artifacts; Brain; Brain Mapping; Diagnosis, Computer-Assisted; Head Movements; Hemoglobins; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Spectroscopy, Near-Infrared;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2005.845243
Filename :
1420715
Link To Document :
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