Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity

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 pro...

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Veröffentlicht in:Journal of healthcare engineering Jg. 2019; H. 2019; S. 1 - 7
Hauptverfasser: Shin, JaeWook, Cho, Jaegeol
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Heart beat
Sensors
ISSN:2040-2295, 2040-2309, 2040-2309
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Abstract 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.
AbstractList 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.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.
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.
Audience Academic
Author Cho, Jaegeol
Shin, JaeWook
AuthorAffiliation Department of Medical and Mechatronics Engineering, Soonchunhyang University, Asan, Republic of Korea
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CitedBy_id crossref_primary_10_1007_s13246_021_01003_4
crossref_primary_10_1109_JBHI_2023_3251742
crossref_primary_10_1109_TIM_2021_3083415
crossref_primary_10_1155_2023_1282309
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Copyright Copyright © 2019 JaeWook Shin and Jaegeol Cho.
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SubjectTerms Algorithms
Heart beat
Sensors
Title Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity
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