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Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper introduces a noise-robust HR estimation algorithm using wrist-type PPG signals that consist of preprocessing block, motion artifact reduction block, and frequency tracking block.
The proposed algorithm has not only robustness for motion noise but also low computational complexity.
The proposed algorithm was tested on a data set of 12 subjects and recorded during treadmill exercise in order to verify and compare with other existing algorithms.
American Psychological Association (APA)
Shin, JaeWook& Cho, Jaegeol. 2019. Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1175285
Modern Language Association (MLA)
Shin, JaeWook& Cho, Jaegeol. Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity. Journal of Healthcare Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1175285
American Medical Association (AMA)
Shin, JaeWook& Cho, Jaegeol. Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1175285
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175285