A novel method for identification of obstructive sleep apnea

Abdulnasir Hossen

doi:10.1109/ISCAIE.2017.8074943

A novel method for identification of obstructive sleep apnea

Abdulnasir Hossen^*

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (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 language	English
Title of host publication	ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	22-27
Number of pages	6
ISBN (Electronic)	9781509047529
DOIs	https://doi.org/10.1109/ISCAIE.2017.8074943
Publication status	Published - Oct 18 2017
Event	2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017 - Langkawi Island, Malaysia Duration: Apr 24 2017 → Apr 25 2017

Other

Other	2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017
Country	Malaysia
City	Langkawi Island
Period	4/24/17 → 4/25/17

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

Access to Document

10.1109/ISCAIE.2017.8074943

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Hossen, A 2017, A novel method for identification of obstructive sleep apnea. in ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics., 8074943, Institute of Electrical and Electronics Engineers Inc., pp. 22-27, 2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017, Langkawi Island, Malaysia, 4/24/17. https://doi.org/10.1109/ISCAIE.2017.8074943

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