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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Bibliographic Details
Published inJournal of healthcare engineering Vol. 2019; no. 2019; pp. 1 - 7
Main Authors Shin, JaeWook, Cho, Jaegeol
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
John Wiley & Sons, Inc
Subjects
Algorithms
Heart beat
Sensors
Online AccessGet full text
ISSN2040-2295
2040-2309
2040-2309
DOI10.1155/2019/6283279

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Summary: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.
Bibliography:ObjectType-Article-2
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Academic Editor: Patrick Boissy
ISSN:2040-2295
2040-2309
2040-2309
DOI:10.1155/2019/6283279