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Heart Rate Estimation Based on PPG signal and Histogram Filter for Mobile Healthcare

  • Lee, Ju-Won (Department of medical engineering, Andong Science College) ;
  • Lee, Byeong-Ro (Department of Electronic Engineering, Jinju National University)
  • Received : 2010.01.13
  • Accepted : 2010.01.21
  • Published : 2010.02.28

Abstract

The heart rate is the most important vital sign in diagnosing heart status. The simple method to measure the heart rate in the mobile healthcare device is using the PPG signal. In developing the mobile healthcare device using the PPG signal, the most important issue is the inaccuracy of the measured heart rate because the PPG signal is distorted from the user's motions. To improve the problem, this study proposed the new method that is to estimate the heart rate without an additional sensor in real life. The proposed method in this study is using the histogram filter. In order to evaluate the performance of the proposed method, the study compares its results with the moving average method in motion environment. According to the experimental results, the performance of the proposed method was more than 40% better than the performances of the MAF.

Keywords

References

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Cited by

  1. Design of Kalman Filter to Estimate Heart Rate Variability from PPG Signal for Mobile Healthcare vol.8, pp.2, 2010, https://doi.org/10.6109/jicce.2010.8.2.201
  2. Design of Filter to Reject Motion Artifacts of PPG Signal by Using Two Photosensors vol.10, pp.1, 2012, https://doi.org/10.6109/jicce.2012.10.1.091
  3. 광전력 진폭변조와 ICA를 이용한 PPG 신호의 동잡음 제거 필터 설계 vol.17, pp.3, 2010, https://doi.org/10.6109/jkiice.2013.17.3.691