A novel method for identification of obstructive sleep apnea

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A novel and robust non-invasive method for identification of patients with obstructive sleep apnea (OSA) is introduced in this paper. Most sleep clinics suffer from the large number of patients with snoring who think that they have OSA and needs full overnight polysomnography. Thus, a need for simple non-invasive methods is of great importance to screen this large number of patients before the polysomnography. The method used in this paper depends on the continuous-wavelet transform and to be considered one of the methods with high-identification efficiency. A clear advantage of this method is its consistency with changing the wavelet-filter type. The data used in this paper are downloaded from MIT data bases. 60 subjects (40 OSA and 20 normal) are to be divided equally for both training and testing cycles.

Original languageEnglish
Title of host publicationISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-27
Number of pages6
ISBN (Electronic)9781509047529
DOIs
Publication statusPublished - Oct 18 2017
Event2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017 - Langkawi Island, Malaysia
Duration: Apr 24 2017Apr 25 2017

Other

Other2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017
CountryMalaysia
CityLangkawi Island
Period4/24/174/25/17

Keywords

  • Continuous Wavelet Transform
  • Entropy
  • Histogram
  • Identification
  • Obstructive Sleep Apnea

ASJC Scopus subject areas

  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Hossen, A. (2017). A novel method for identification of obstructive sleep apnea. In ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics (pp. 22-27). [8074943] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAIE.2017.8074943