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Entropy 2016, 18(8), 306;

Contact-Free Detection of Obstructive Sleep Apnea Based on Wavelet Information Entropy Spectrum Using Bio-Radar

Department of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an 710032, China
Laboratory of Aviation Medicine, Naval Medical Research Institute, Shanghai 200433, China
Chuantao Li and Fugui Qi contributed equally to this work and should be regarded as co-first author.
Authors to whom correspondence should be addressed.
Academic Editor: Carlos M. Travieso-González
Received: 14 June 2016 / Revised: 6 August 2016 / Accepted: 15 August 2016 / Published: 18 August 2016
(This article belongs to the Special Issue Entropy on Biosignals and Intelligent Systems)
Full-Text   |   PDF [2206 KB, uploaded 18 August 2016]   |  


Judgment and early danger warning of obstructive sleep apnea (OSA) is meaningful to the diagnosis of sleep illness. This paper proposed a novel method based on wavelet information entropy spectrum to make an apnea judgment of the OSA respiratory signal detected by bio-radar in wavelet domain. It makes full use of the features of strong irregularity and disorder of respiratory signal resulting from the brain stimulation by real, low airflow during apnea. The experimental results demonstrated that the proposed method is effective for detecting the occurrence of sleep apnea and is also able to detect some apnea cases that the energy spectrum method cannot. Ultimately, the comprehensive judgment accuracy resulting from 10 groups of OSA data is 93.1%, which is promising for the non-contact aided-diagnosis of the OSA. View Full-Text
Keywords: OSA; wavelet information entropy; respiratory signal; bio-radar OSA; wavelet information entropy; respiratory signal; bio-radar

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Qi, F.; Li, C.; Wang, S.; Zhang, H.; Wang, J.; Lu, G. Contact-Free Detection of Obstructive Sleep Apnea Based on Wavelet Information Entropy Spectrum Using Bio-Radar. Entropy 2016, 18, 306.

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