Before revision:  Automatic seizure type classificationusing clinical electroencephalograms (EEGs) is challengingdue to factors such as low signal to noise ratios, signal arte-facts , high variance in the seizure semiology among individ-ual epileptic patients, and limited availability of clinical data.
After revision:  Automatic seizure type classificationusing clinical electroencephalograms (EEGs) is challengingdue to factors such as low signal to noise ratios, signal arte-facts , high variance in seizure semiology among individ-ual epileptic patients, and limited availability of clinical data.