Motion artifact reduction in photoplethysmography using independent component analysis

• Published in: IEEE transactions on biomedical engineering Vol. 53; no. 3; pp. 566 - 568
• Main Authors: Kim, B.S., Yoo, S.K.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biomedical engineering; Biomedical measurements; Block interleaving; Diagnosis, Computer-Assisted - methods; Filtering; Humans; ICA; Independent component analysis; Low pass filters; Motion analysis; motion artifact; Motion measurement; Movement; Optical filters; photoplethysmography; Photoplethysmography - methods; Pollution measurement; Pulse measurements; Reproducibility of Results; Sensitivity and Specificity
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.2005.869784

Removing the motion artifacts from measured photoplethysmography (PPG) signals is one of the important issues to be tackled for the accurate measurement of arterial oxygen saturation during movement. In this paper, the motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the PPG and the motion artifact signals. The combination of independent component analysis and block interleaving with low-pass filtering can reduce the motion artifacts under the condition of general dual-wavelength measurement. Experiments with synthetic and real data were performed to demonstrate the efficacy of the proposed algorithm.