Efficient EEG frequency band selection techniques for a robust motor imagery based brain-computer interface

Efficient EEG frequency band selection techniques for a robust motor imagery based brain-computer interface

Recently, Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have become a hot topic in the study of neural engineering, rehabilitation and brain science. BCIs translate human intentions into control signals to establish a direct communication channel between the human brain and outpu...

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書目詳細資料
主要作者:	Kavitha P. Thomas
其他作者:	Guan Cuntai
格式:	Theses and Dissertations
語言:	English
出版:	2011
主題:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
在線閱讀:	https://hdl.handle.net/10356/46231
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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