A Method of Pre-processing Photoplethysmographic Signal Based on Adaptive Filter for Pulse Oximeter
Adaptive filter based on least-mean-square (LMS) algorithm is used to pre-processing photoplethysmography (PPG) signal which is feeble and apt to affect by motion artifact. Firstly, relationship between normal signal and motion artifact is analyzed using Beer-Lambert Law for settling motive interference problem of pulse oximeter. It is shown that the disturbance signal and PPG signal is approximate linear combination relation, so signal processing methodology may be used to separate the two signals. And then adaptive filter fundamental is introduced and emphasized least-mean-algorithm that used in this paper. Random artifact and period artifact experiment validate this method at the end of the paper, it is shown that motion artifact is restricted effectively and able to compute with microcontroller.
photoplethysmography pulse oximeter adaptive filter least-mean-square algorithm motion artifact
Zhang Da Wang Haitao Wang Yuqi
School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
国际会议
长沙
英文
168-170
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）