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

  • Tianyi Song
  • Baoming Chen
  • Lunlun Huang
  • Mengsun Yu
Article

Abstract

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.

Keywords

Obstructive sleep apnea Genioglossus muscle Breathing waveform Independent component analysis Electromyography 

Notes

Acknowledgements

The authors acknowledge the support of Medicine Science Program for Young Scholars of PLA (Grant: 16QNP058) and Presidential Foundation of General Hospital of Jinan Military Command (Grant: 2015GL01).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Tianyi Song
    • 1
    • 2
  • Baoming Chen
    • 3
  • Lunlun Huang
    • 4
  • Mengsun Yu
    • 1
  1. 1.School of Biomedical EngineeringFourth Military Medical UniversityXi’anChina
  2. 2.Department of Medical EngineeringGeneral Hospital of Jinan Military CommandJinanChina
  3. 3.School of Physics and Electronic EngineeringShanxi UniversityTaiyuanChina
  4. 4.Department of Medical AdministrationGeneral Hospital of Jinan Military CommandJinanChina

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