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Journal of Healthcare Engineering
Volume 2018 (2018), Article ID 1902176, 10 pages
https://doi.org/10.1155/2018/1902176
Research Article

A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform

1Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan
2School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China

Correspondence should be addressed to Haibin Wang

Received 9 June 2017; Revised 24 September 2017; Accepted 9 October 2017; Published 10 January 2018

Academic Editor: Chengyu Liu

Copyright © 2018 Yu Fang 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.

How to Cite this Article

Yu Fang, Zhongwei Jiang, and Haibin Wang, “A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform,” Journal of Healthcare Engineering, vol. 2018, Article ID 1902176, 10 pages, 2018. doi:10.1155/2018/1902176