Classification of Motor Imagery EEG Signals using Improved CSP based on Riemannian Geometry
碩士 === 國立中央大學 === 電機工程學系 === 107 === This thesis, based on Riemannian geometric space, focuses on the design and implementation of a classification algorithm for motor imagery Electroencephalography(EEG). When classifing imaginary brain electrical signals, the common spatial pattern method is often...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/e9uu6n |