The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Low Complexity Heart Rate Estimation Algorithm for Wearable Device

웨어러블 기기를 위한 낮은 계산량을 갖는 운동 중 심박수 추정 알고리즘

  • Baek, Hyun Jae (Dept. of Medical and Mechatronics Engineering, Soonchunhyang University) ;
  • Cho, Jaegeol (Dept. of Medical and Mechatronics Engineering, Soonchunhyang University)
  • Received : 2018.04.27
  • Accepted : 2018.04.30
  • Published : 2018.05.01
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Abstract

A novel heart rate estimation algorithm is presented based on normalized least-mean-square (NLMS) algorithm. This paper presented a three-step processing scheme for estimating heart rate from PPG signal with motion artifacts. The proposed active noise cancellation algorithm has low computational complexity compared to the NLMS algorithm. Experimental results show that the proposed algorithms perform similar with the previous algorithm under motion artifact noises.

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References

  1. Terbizan, Donna J., Brett A. Dolezal, and Christian Albano. "Validity of seven commercially available heart rate monitors." Measurement in Physical Education and Exercise Science 6.4 (2002): 243-247. https://doi.org/10.1207/S15327841MPEE0604_3
  2. Spierer, David K., et al. "Validation of photoplethysmography as a method to detect heart rate during rest and exercise." Journal of medical engineering & technology 39.5 (2015): 264-271. https://doi.org/10.3109/03091902.2015.1047536
  3. Fallet, Sibylle, and Jean-Marc Vesin. "Adaptive frequency tracking for robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise." Computing in Cardiology Conference (CinC), 2015. IEEE, 2015.
  4. Fallet, Sibylle, and Jean-Marc Vesin. "Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering." Physiological measurement 38.2 (2017): 155. https://doi.org/10.1088/1361-6579/aa506e
  5. Zhang, Zhilin, Zhouyue Pi, and Benyuan Liu. "TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise." IEEE Transactions on Biomedical Engineering 62.2 (2015): 522-531. https://doi.org/10.1109/TBME.2014.2359372
  6. Temko, Andriy. "Accurate heart rate monitoring during physical exercises using ppg." IEEE Transactions on Biomedical Engineering 64.9 (2017): 2016-2024. https://doi.org/10.1109/TBME.2017.2676243
  7. Jarchi, Delaram, and Alexander J. Casson. "Towards photoplethysmography-based estimation of instantaneous heart rate during physical activity." IEEE Transactions on Biomedical Engineering 64.9 (2017): 2042-2053. https://doi.org/10.1109/TBME.2017.2668763
  8. Song, Jiajia, et al. "A Robust Dynamic Heart-Rate Detection Algorithm Framework During Intense Physical Activities Using Photoplethysmographic Signals." Sensors 17.11 (2017): 2450. https://doi.org/10.3390/s17112450
  9. Ram, M. Raghu, et al. "A novel approach for motion artifact reduction in PPG signals based on AS-LMS adaptive filter." IEEE Transactions on Instrumentation and Measurement 61.5 (2012): 1445-1457. https://doi.org/10.1109/TIM.2011.2175832
  10. Chan, K. W., and Y. T. Zhang. "Adaptive reduction of motion artifact from photoplethysmographic recordings using a variable step-size LMS filter." Sensors, 2002. Proceedings of IEEE. Vol. 2. IEEE, 2002.
  11. Wood, Levi B., and H. Harry Asada. "Low variance adaptive filter for cancelling motion artifact in wearable photoplethysmogram sensor signals." Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. IEEE, 2007.
  12. Lee, Han-Wook, et al. "The periodic moving average filter for removing motion artifacts from PPG signals." International Journal of Control, Automation, and Systems 5.6 (2007): 701-706.
  13. Peng, Fulai, et al. "Motion artifact removal from photoplethysmographic signals by combining temporally constrained independent component analysis and adaptive filter." Biomedical engineering online 13.1 (2014): 50. https://doi.org/10.1186/1475-925X-13-50
  14. Lee, Boreom, et al. "Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter." Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. IEEE, 2011.
  15. Liao, Ho-En. "Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids." IEEE transactions on signal processing 53.2 (2005): 528-538. https://doi.org/10.1109/TSP.2004.840813