Design of Filter to Remove Motionartifacts of Photoplethysmography Based on Indepenent Components Analysis and Filter Banks

Abstract

In mobile healthcare device, when to measure the heart rate by using the PPG signal, its performance is reduced according to the motion artifacts that is the movement of user. This is because the frequency range of motion (0.01-10 Hz) and that of PPG signals overlap. Also, the motion artifacts cannot be rectified by general filters. To solve the problem, this paper proposes a method using filter banks and independent component analysis (ICA). To evaluate the performance of the proposed method, we were artificially applied various movements and compared heart rate errors of the moving average filter and ICA. In the experimental results, heart rate error of the proposed method showed very low than moving average filter and ICA. In this way, it is possible to measure stable heart rate if the proposed method is applied to the healthcare terminal design.키워드 : 광용적 맥파, 심박수, 독립성분분석법, 필터뱅크, 동잡음

ECG-Based Biometrics Using a Deep Network Based on Independent Component Analysis

“…Hwang [38] studied a new mode separation technique that employed the acceleration response of structures using sound data based on ICA. Lee [39] designed a dynamic noise-reduction filter using ICA. Jung [40] designed a partial discharge pattern classifier using ICA based on high-dimensional data.…”