A novel algorithm to separate motion artifacts from photoplethysmographic signals obtained with a reflectance pulse oximeter

Jianchu Yao; Steve Warren

doi:10.1109/IEMBS.2004.1403630

A novel algorithm to separate motion artifacts from photoplethysmographic signals obtained with a reflectance pulse oximeter

Conf Proc IEEE Eng Med Biol Soc. 2004:2004:2153-6. doi: 10.1109/IEMBS.2004.1403630.

Authors

Jianchu Yao¹, Steve Warren

Affiliation

¹ Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA.

PMID: 17272150
DOI: 10.1109/IEMBS.2004.1403630

Abstract

Pulse oximeters are mainstays for acquiring blood oxygen saturation in static environments such as hospital rooms. However, motion artifacts prevent their broad in wearable, ambulatory environments. To this end, we present a novel algorithm to separate the motion artifacts from plethysmographic data gathered by pulse oximeters. This algorithm, based on the Beer-Lambert law, requires photoplethysmographic data acquired at three excitation wavelengths. The algorithm can calculate venous blood oxygen saturation (SvO2) as well as arterial blood oxygen saturation (SaO2). Preliminary results indicate that the extraction of the venous signal, which is assumed to be most affected by motions, is successful with data acquired from a reflectance-mode sensor.