Development of Obstructive Sleep Apnea Event Detection Algorithms Based on Heart Rate Variability and ECG Morphology Features

碩士 === 國立成功大學 === 電機工程學系 === 104 === Sleep medicine has become a salient issue in health and medical industry in the past decade. This thesis proposes two electroencephalography (ECG) signal analysis algorithms for obstructive sleep apnea (OSA) detection. The first algorithm is an ECG feature-based...

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Bibliographic Details
Main Authors: Tzu-PingKao, 高子平
Other Authors: Jeen-Shing Wang
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/w6r4b4