Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.
Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation and classification methods. Little research has be...
| Published in: | Medical & Biological Engineering & Computing Vol. 54; no. 8; pp. 1285 - 1294 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2016
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| Online Access: | View this record in EBSCOhost |