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A weiner filter based robust algorithm for estimation of heart rate from wrist based photoplethysmogram

Published: 09 September 2019 Publication History

Abstract

The paradigm of wellness consists of both physical and mental wellness. One important parameter of physical wellness in the monitoring of cardiac health during activity, which requires measurement of ambulatory heart rate (HR). With the advent of smart wearable devices, measurement of heart-rate using Photoplethysmogram (PPG) has become a commodity. However, arriving at a reliable heart-rate measurement in real-time during daily activities is an open research problem. In this paper, we propose a method based on Weiner Filter, to estimate the correct HR values in the presence of motion, while being computationally efficient to be run on-device. Results are presented on a public data-set which prove the efficacy and efficiency of the proposed method.

References

[1]
N. Ahmed and et. al. Heart rate estimation algorithm from wrist-based photoplethysmogram using subspace learning method. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pages 145--150, March 2019.
[2]
S. Mukhopadhyay, N. Ahmed, D. Jaiswal, A. Sinharay, A. Ghose, T. Chakravarty, and A. Pal. A photoplethysmograph based practical heart rate estimation algorithm for wearable platforms. In Proceedings of the 2017 Workshop on Wearable Systems and Applications, pages 23--28. ACM, 2017.
[3]
Z. Zhang. Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction. IEEE Transactions on Biomedical Engineering, 62(8):1902--1910, Aug 2015.
[4]
Z. Zhang. A new approach for heart rate monitoring using photoplethysmography signals contaminated by motionartifacts. 2016.
[5]
Z. Zhang and et.al. Troika: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. IEEE Transactions on Biomedical Engineering, Feb 2015.

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  1. A weiner filter based robust algorithm for estimation of heart rate from wrist based photoplethysmogram

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      cover image ACM Conferences
      UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
      September 2019
      1234 pages
      ISBN:9781450368698
      DOI:10.1145/3341162
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 09 September 2019

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      Author Tags

      1. heart rate(HR)
      2. motion artifacts
      3. photoplethysmography(PPG)
      4. principal component analysis
      5. weiner filter

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      Overall Acceptance Rate 764 of 2,912 submissions, 26%

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