Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter

Boreom Lee; Youngwook Kee; Jonghee Han; Won Jin Yi

doi:10.1109/IEMBS.2011.6091957

Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:7937-40. doi: 10.1109/IEMBS.2011.6091957.

Authors

Boreom Lee¹, Youngwook Kee, Jonghee Han, Won Jin Yi

Affiliation

¹ Graduate-program of Medical System Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea. leebr@gist.ac.kr

PMID: 22256181
DOI: 10.1109/IEMBS.2011.6091957

Abstract

Photoplethysmographic (PPG) signal can provide important information about cardiovascular and respiratory conditions of individuals in a hospital or daily life. However, PPG can be distorted by motion artifacts significantly. Therefore, the reduction of the effects of motion artifacts is very important procedure for monitoring cardio-respiratory system by PPG. There have been many adaptive techniques to reduce motion artifacts from PPG signal including normalized least mean squares (NLMS) method, recursive least squares (RLS) filter, and Kalman filter. In the present study, we propose the adaptive comb filter (ACF) for reducing the effects of motion artifacts from PPG signal. ACF with adaptive lattice infinite impulse response (IIR) notch filter (ALNF) successfully reduced the motion artifacts from the quasi-periodic PPG signal.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artifacts*
Computer Simulation
Humans
Motion*
Photoplethysmography / methods*