A Novel Method to Identify Obstructive Sleep Apnea Events via Mandible sEMG

It is important to identify OSA events accurately for estimating the severity of OSA. Polysomnography examination was complex and not friendly for sleep. This paper proposed a novel method to identify OSA events. Three-channel mandible sEMG and breathing waveform were recorded simultaneously, and Fa...

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Bibliographic Details
Published in:Wireless personal communications 2018-10, Vol.102 (4), p.3677-3686
Main Authors: Song, Tianyi, Chen, Baoming, Huang, Lunlun, Yu, Mengsun
Format: Article
Language:English
Subjects:
Algorithms
Breathing
Communications Engineering
Computer Communication Networks
Correlation coefficients
Engineering
Muscles
Networks
Signal,Image and Speech Processing
Sleep apnea
Waveforms
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Summary:It is important to identify OSA events accurately for estimating the severity of OSA. Polysomnography examination was complex and not friendly for sleep. This paper proposed a novel method to identify OSA events. Three-channel mandible sEMG and breathing waveform were recorded simultaneously, and FastICA algorithm was applied for decomposing the sEMG signals into three independent components, then to determinate the independent component which has maximum Pearson correlation coefficient with breathing waveform as genioglossus muscle EMG. When the genioglossus muscle EMG value drops to 10% of the maximum value of the individual’s maximum respiratory effort for more than 10 s, it is considered that an OSA event occurs once. Twenty-one OSA patients participated a controlled experiment, which demonstrates that there is no significant difference between the proposed method and Polysomnography examination ( P  = 0.1726). The proposed method to identify OSA events via mandible sEMG and breathing waveform was proved to be effective non-invasive, and more patient-friendly.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-018-5400-7