Seizure prediction

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal

Author(s): Han-Tai Shiao, Vladimir Cherkassky, Jieun Lee, Brandon Veber, Edward E. Patterson, Benjamin H. Brinkmann, Gregory A. Worrell
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal 170 177 IEEE Transactions on Biomedical Engineering (TBME)

This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics…

read more

Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features

Author(s): Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Erika Abe, Yoko Suzuki, Yuriko Sawada, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Taeko Sasai-Sakuma, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Epilepsy is a common neurological disorder that causes seizures with various symptoms such as convulsion and loss of consciousness. Approximately 30% of epileptic patients do not achieve seizure control even…

read more