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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 9468503, 8 pages
https://doi.org/10.1155/2017/9468503
Research Article

A Hybrid Wavelet-Based Method for the Peak Detection of Photoplethysmography Signals

1College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China
2The First Hospital of Jilin University, Changchun 130021, China

Correspondence should be addressed to Shu Diao; moc.qq@989996271

Received 28 March 2017; Revised 28 July 2017; Accepted 7 August 2017; Published 7 November 2017

Academic Editor: Thierry Busso

Copyright © 2017 Suyi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Jeerasuda Koseeyaporn, Sakkarin Sinchai, and Paramote Wardkein, “Performance of Frequency Translation in Separating a Photoplethysmographic Signal from an Additive Motion Artifact,” 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), pp. 512–516, . View at Publisher · View at Google Scholar
  • Suyi Li, Lijia Liu, Jiang Wu, Bingyi Tang, and Dongsheng Li, “Comparison and Noise Suppression of the Transmitted and Reflected Photoplethysmography Signals,” BioMed Research International, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Jake D. Campbell, Christopher G. Pretty, Phillip J. Bones, and J. Geoffrey Chase, “Near-Real-Time Detection of Pulse Oximeter PPG Peaks Using Wavelet Decomposition,” IFAC-PapersOnLine, vol. 51, no. 27, pp. 146–151, 2018. View at Publisher · View at Google Scholar
  • Jian Gu, Akiko Kaneko, Itsuro Saito, Mutsumi Okazaki, Masaki Sekino, Yoko Tomioka, Shintaro Enomoto, and Takao Someya, “Algorithm for evaluating tissue circulation based on spectral changes in wearable photoplethysmography device,” Sensing and Bio-Sensing Research, vol. 22, 2019. View at Publisher · View at Google Scholar