An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology

Download
Full text for this resource is not available from the Research Repository.
Export

Khanam, Taslima ORCID: 0000-0001-5842-930X, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua ORCID: 0000-0002-8465-0996 (2023) An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology. Neural Computing and Applications, 35 (9). pp. 6623-6634. ISSN 0941-0643

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/47351
DOI 10.1007/s00521-022-08027-1
Official URL https://link.springer.com/article/10.1007/s00521-0...
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords motor impairment; rehabilitation; electroencephalogram; machine learning; Common Spatial Pattern; Medium K Nearest Neighbour
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)