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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Bibliographic Details
Main Author: Kavitha P. Thomas
Other Authors: Guan Cuntai
Format: Thesis
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/46231

Internet

https://hdl.handle.net/10356/46231

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