Relevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification
نویسندگان
چکیده
منابع مشابه
Relevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification
Brain computer interfaces provide a novel channel for the communication between brain and output devices. The effectiveness of the brain computer interface is based on the classification accuracy of single trial brain signals. The common spatial pattern (CSP) algorithm is believed to be an effective algorithm for the classification of single trial brain signals. As the amplitude feature for spa...
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Recently, a large set of electroencephalography (EEG) data is being generated by several high-quality labs worldwide and is free to be used by all researchers in the world. On the other hand, many neuroscience researchers need these data to study different neural disorders for better diagnosis and evaluating the treatment. However, some format adaptation and pre-processing are necessary before ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2017
ISSN: 1662-453X
DOI: 10.3389/fnins.2017.00371