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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| Published in | Journal of healthcare engineering Vol. 2019; no. 2019; pp. 1 - 7 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2019
Hindawi John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2040-2295 2040-2309 2040-2309 |
| DOI | 10.1155/2019/6283279 |
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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. |
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| 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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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31249654$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1007_s13246_021_01003_4 crossref_primary_10_14801_jkiit_2023_21_9_105 crossref_primary_10_1109_JBHI_2023_3251742 crossref_primary_10_2298_SJEE2402251R crossref_primary_10_1109_TIM_2021_3083415 crossref_primary_10_1155_2023_1282309 |
| Cites_doi | 10.1207/s15327841mpee0604_3 10.1109/tbme.2014.2359372 10.1109/jbhi.2016.2612059 10.1016/j.sigpro.2017.02.017 10.1016/j.bspc.2019.01.021 10.1016/j.bspc.2016.12.005 10.1088/1361-6579/aa506e 10.1049/el.2012.0199 10.1109/tbme.2017.2697911 10.1109/tbme.2015.2406332 10.1109/tsp.2004.840813 |
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| Copyright | Copyright © 2019 JaeWook Shin and Jaegeol Cho. COPYRIGHT 2019 John Wiley & Sons, Inc. Copyright © 2019 JaeWook Shin and Jaegeol Cho. 2019 |
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| SubjectTerms | Algorithms Heart beat Sensors |
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| Title | Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity |
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