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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Vydáno v:Journal of healthcare engineering Ročník 2019; číslo 2019; s. 1 - 7
Hlavní autoři: Shin, JaeWook, Cho, Jaegeol
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
John Wiley & Sons, Inc
Témata:
Algorithms
Heart beat
Sensors
ISSN:2040-2295, 2040-2309, 2040-2309
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Shrnutí: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.
Bibliografie:ObjectType-Article-2
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Academic Editor: Patrick Boissy
ISSN:2040-2295
2040-2309
2040-2309
DOI:10.1155/2019/6283279