A Feature Extraction and Selection Framework for Electrocorticography-Based Neural Activity Classification.
Electrocorticography (ECoG) signals provide a valuable window into neural activity, yet their complex structure makes reliable classification challenging. This study addresses the problem by proposing a feature-selective framework that integrates multiple feature extraction techniques with statistic...
| Published in: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 14 |
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| Main Authors: | , , , |
| Format: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
11/4/2025
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| Online Access: | View this record in EBSCOhost |