Feature Engineering for an Efficient Motor Related EcoG BCI System-Reference-Cited by-同舟云学术

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Feature Engineering for an Efficient Motor Related EcoG BCI System

Published:2023-10-01 Issue: Volume:2 Page:4720-4727
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Jain Ritwik¹,Jaiman Prakhar²,Baths Veeky³

Affiliation:

1. IIT Kharagpur,Department of Biotechnology,Kharagpur,India,721302

2. BITS Pilani - Goa Campus,Department of Electrical and Electronics Engineering,Goa,India,403726

3. BITS Pilani - Goa Campus,Cognitive Neuroscience Lab,Department of Biological Sciences,Goa,India,403726

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10393889.pdf?arnumber=10393889

Reference42 articles.

1. Electrocorticography;Keene;Epileptic Disorders,2000

2. Alfentanil mediated activation of epileptiform activity in the electrocorticogram during resection of epileptogenic foci;Roberts;Canadian journal of neurological sciences,1997

3. Selecting the signals for a brain–machine interface

4. ECoG-Based BCIs

5. Brain–computer interface (BCI) operation: optimizing information transfer rates

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