A novel method for identification of obstructive sleep apnea

Abdulnasir Hossen*

*المؤلف المقابل لهذا العمل

نتاج البحث

2 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
عنوان منشور المضيفISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات22-27
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781509047529
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أكتوبر 18 2017
الحدث2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017 - Langkawi Island
المدة: أبريل ٢٤ ٢٠١٧أبريل ٢٥ ٢٠١٧

Other

Other2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017
الدولة/الإقليمMalaysia
المدينةLangkawi Island
المدة٤/٢٤/١٧٤/٢٥/١٧

ASJC Scopus subject areas

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