Browse > Article

Design of Filter to Remove Motion Artifacts of Photoplethysmography Signal Using Adaptive Notch Filter and Fuzzy Inference system  

Lee, Ju-Won (Department of Electric and Automation Engineering, Andong Science College)
Lee, Byeong-Ro (Department of Electronics Engineering, Gyeongnam National University of Science and Technology)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.1, 2019 , pp. 45-50 More about this Journal
Abstract
When PPG signal is used in mobile healthcare devices, the accuracy of the measured heartbeat decreases from the influence by the movement of the user. The reason is that the frequency band of the noise overlaps the frequency band of the PPG signal. In order to remove these same noises, the methods using frequency analysis method or application of acceleration sensor have been investigated and showed excellent performance. However, in applying these methods to low-cost healthcare devices, it is difficult to apply these methods because of much processing time and sensor's cost. In order to solve these problems, this study proposed the filter design method using an adaptive notch filter and the fuzzy inference system to extract more accurate heart rate in real time and evaluated its performance. As results, it showed better results than the other methods. Based on the results, when applying the proposed method to design the mobile healthcare device, it is possible to measure the heartbeat more accurately in real time.
Keywords
Mobile healthcare device; PPG signal; Motion artifacts; Adaptive notch filter; Fuzzy inference system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 M. Alafeef. "Smartphone-based photoplethysmo graphic imaging for heart rate monitoring,"Journal of Medical Engineering Technology, vol. 43, pp. 1-9, 2017.   DOI
2 Do-Un Jeong, Se-Jin Kim, "Implementation of the ECG monitoring system for home healthcare using Wiener filter method,"Journal of the Institute of Convergence Signal Processing, vol. 9, no. 2, pp. 104-111, 2008.
3 J. Allen, "Photoplethysmography and its application in clinical physiological measurement," Physiol. Meas., vol. 28, no. 2, pp. R1-R39, February, 2007.   DOI
4 Z. Zhang, Z. Pi, B. Liu, "TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise," IEEE Trans. on Biomedical Engineering, vol. 62, no. 2, pp. 522-531, September, 2015.   DOI
5 L. Tan, J. Jiang, L. Wang, "Adaptive Harmonic IIR Notch Filters for Frequency Estimation and Tracking," in Adaptive Filtering, InTech, 2011, pp. 313-332.
6 S. Bouharati, I. Bouharati, C. Benzidane, F. Alleg, and M. Belmahd, "Processing the Medical Sensors Signals Using Fuzzy Inference System," World Academy of Science, Engineering and Technology, International Journal of Health and Medical Engineering, vol. 7, no. 6, pp. 310-313, 2013.
7 Zadeh L. "Fuzzy sets,"Information and Control, vol. 1, no. 8, pp. 338-353, 1965   DOI
8 https://sites.google.com/site/researchbyzhang/
9 Park, Heejung, Jaehyun Nam, and Juwon Lee. "Design of filter to reject motion artifacts of PPG signal using multiwave optical source," Journal of the Korea Society of Computer and Information vol. 19, no. 2, pp. 101-107, 2014.   DOI