Detection and Prediction of Obstructive Sleep Apnea Based on Traditional Machine Learning and Recent Deep Learning Architectures
碩士 === 國立中正大學 === 電機工程研究所 === 106 === In this thesis, we proposed the identification and prediction methods of obstructive sleep apnea (OSA), using traditional machine learning and recent deep learning approaches. The human’s physiological signal Electrocardiogram (ECG) was used to identify and pred...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/f6kfmz |