Year: 2008
Type: dissertation
Abstract: Supervised training and classification are heavily used in biomedical sciences. This paper describes two different classifiers, Support Vector learning Machine (SVM) and Artificial Neural Network (ANN) for detecting epileptic seizures in humans. SVM and ANN are evaluated for accuracy, specificity and sensitivity on classification of each patient into the correct group categorization: epileptic seizure or non-epileptic seizure. It is discussed how the model selection should be in order to achieve an acceptable rate of correct classification.
Author: Florentino Liaño, Blanca
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7020796581