Affiliations: Department of Media Engineering, Tongmyung University, Busan, Korea. E-mail: [email protected] | [v] Department of Interactive Media, Gachon University, Seongnam, Korea | [w] Department of Computer Science and Engineering, University of Information Technology and Sciences, Dhaka, Bangladesh | [x] Department of Computer Information Engineering, Sangji University, Wonju, Korea | [y] Department of Computer Software, Daelim University, Gyeonggi-do, Korea | [z] Division of Information and Communication, Baekseok University, Seoul, Korea
Abstract: The photoplethysmogram (PPG) is an extremely useful medical diagnostic tool. However, PPG signals are highly susceptible to motion artifacts. In this paper, we propose a cyclic moving average filter that use similarity of Photoplethysmogram. This filtering method has the average value of each samples through separating the cycle of PPG signal. If there are some motion artifacts in continuous PPG signal, disjoin the signal based on cycle. And then, we made these signals to have same cycle by coordinating the number of sample. After arrange these cycles in 2 dimension, we put the average value of each samples from starting till now. So, we can eliminate the motion artifacts without damaged PPG signal.
Keywords: Motion artifacts, PPG, cyclic moving average filter
