A Motor Imagery Classification Method Using Parzen Windows-Based Spectral Band and Contaminated Trials Evaluation in Brain-Computer Interfaces
碩士 === 國立陽明大學 === 生物醫學工程學系 === 104 === These years, machine learning has been considered the main tool for classifying the Electroencephalography (EEG) signals. Although considerable effort has been devoted to the motor imagery classification, there are still two major problems to be solved. First,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/t7w3mj |