Comparison of Non - Parametric PSD Detection Methods in the Anaylsis of EEG Signals in Sleep Apnea

被引：0

作者：

Kocak, Onur ^{[1
]}

Beytar, Faruk ^{[2
]}

Firat, Hikmet ^{[3
]}

Telatar, Ziya ^{[4
]}

Erogul, Osman ^{[2
]}

机构：

[1] Baskent Univ, Biyomed Muhendisligi Bolumu, Ankara, Turkey

[2] TOBB Ekon & Teknol Univ, Biyomed Muhendisligi Anabilim Dali, Ankara, Turkey

[3] Dis Kapi Egitim & Arastirma Hastanesi, Uyku Bozukluklari Merkezi, Ankara, Turkey

[4] Ankara Univ, Elekt Elekt Muhendisligi Bolumu, Ankara, Turkey

来源：

2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO) | 2015年

关键词：

Sleep apnea; nonparametric PSD analysis; EEG signals; AR;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Sleep apnea is characterized by complete cessation of airflowin the mouth and nose for at least 10 seconds and it is a disease that causes significant disruption of sleep patterns. In the absence of treatment, it can lead to serious health problems such as heart attack and stroke. Polysomnography is the gold standard examination methods used in the diagnosis of the disease. In this study, EEG signals obtained from the polysomnography recording are divided into sub-bands and their epochs in pre apnea, intra apnea and post apnea were analyzed. Non-parametric power spectral density (PSD) detection methods (Periodogram, Welch and Multi Taper) applied to the EEG signals were compared.

引用

页数：4

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