Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals...
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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Contents
The brain–computer interface (BCI) is an emerging technology that has the potential to revolutionize the world, with numerous applications ranging from healthcare to human augmentation. Electroencephalogram (EEG) motor imagery (MI) is among the most common BCI paradigms that have been used extensively in smart healthcare applications such as post-s...
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Full title
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
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TN_cdi_proquest_journals_2821743266
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2821743266
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-021-06352-5
