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)3: 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…

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Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
Author(s)3: 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…

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