NDLI: Comparative evaluation of adaptive filters in motion artifact cancellation for pulse oximetry

Content Provider	IEEE Xplore Digital Library
Author	Kunchon, S. Desudchit, T. Chinrungrueng, C.
Copyright Year	2009
Description	Author affiliation: Department of Pediatrics, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok, 10330, Thailand (Desudchit, T.) \|\| Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand (Kunchon, S.; Chinrungrueng, C.)
Abstract	Among non-invasive approaches, pulse oximeters are most commonly used medical equipment for measuring blood oxygen saturation level. However, their accuracy is severely subjected to motion artifact and environmental noise. In this paper, we aim to evaluate empirically the effectiveness of adaptive filters in motion artifact cancellation for finger pulse oximeters. Our experiments compared the Least Mean Square (LMS) adaptive filter and the Exponentially Weighted Least Square (EWLS) adaptive filter with the Minimum Correlation Discrete Saturation Transform (MCDST). The experimental results indicate that both adaptive filters can perform better than the MCDST, and the EWLS adaptive filter better than the LMS adaptive filter in motion noise reduction.
Starting Page	307
Ending Page	311
File Size	857490
Page Count	5
File Format	PDF
ISBN	9781424441518
DOI	10.1109/CSPA.2009.5069240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-06
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical equipment minimum correlation discrete saturation transform Pulse measurements Noise reduction Adaptive filters Least squares approximation adaptive noise cancellation Blood Least squares methods Discrete transforms Working environment noise Fingers accelerometers Pulse oximetry
Content Type	Text
Resource Type	Article

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