Using EOG Signals for Sleep Stage Classification
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 97 === This study aims at sleep stage classification problem via EOG signals. The classification problem consists of four steps. The first step is to distinguish slow wave sleep from the rest of the sleep periods. Wake periods are identified in the second step. The...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/8q2t9t |