Classification of Independent Components of EEG Based on Spatial-Temporal Features
碩士 === 義守大學 === 資訊工程學系 === 105 === Artifact removal has been an important preprocessing step in many applications of Electroencephalography (EEG) signals. One of well-known Artifact removal approaches is independent component analysis (ICA). Through the ICA, EEG signals can be decomposed into severa...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/x4gkzp |