A model-based artifact reduction method for the non-invasive estimation of blood oxygen saturation

Author

Yan, Y.S. ; Zhang, Y.T.

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong

fYear

0

fDate

0-0 0

Firstpage

90

Lastpage

92

Abstract

We present a novel motion-artifact (MA) insensitive method for the estimation of blood oxygen saturation (SpO2), based on a heuristic physical model of the photoplethysmographic(PPG) signal with a multiplicative component representing motion artifact. This new method calculates the ratio of ratios R using the first derivative values of zero-crossing points of PPG signals, which possesses the inherent insensitivity to motion artifact. Four types of motions, as the source of motion artifact, were investigated to test the performance of the new approach. A quantitative comparison between the conventional method and the newly proposed method was undertaken based on the practical experiments. It was found that the new approach had a significant reduction in the estimation error of SpO2, compared with the conventional method

Keywords

bio-optics; biomechanics; blood; estimation theory; oxygen; plethysmography; heuristic physical model; model-based artifact reduction method; motion-artifact insensitive method; noninvasive blood oxygen saturation estimation; photoplethysmographic signal; zero-crossing points; Biomedical engineering; Blood; Motion estimation; Notice of Violation; Optical distortion; Optical saturation; Oxygen; Signal processing; Testing; Yield estimation; Photoplethysmography (PPG); blood oxygen saturation (SpO2); motion artifact (MA);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Architectures for Machine Perception, 2003 IEEE International Workshop on

Conference_Location

Hong Kong

Print_ISBN

0-7803-8612-4

Type

conf

DOI

10.1109/ISSMD.2004.1689569

Filename

1689569