Predicting epileptic seizures from scalp EEG based on attractor state analysis

Epilepsy is the second most common disease of the brain. Approximately 1% of the world population suffers from it [1]. Epilepsy is caused by occasionally excessive and abnormal discharging of neurons, and it appears clinically as the occurrence of seizures [2]. During seizures, abnormal and excessive neural activity leads to transient disturbance in the normal electrical function of the brain [3]. This causes memory impairment, difficulty in body movement, and even death [4]. Epilepsy makes it difficult for patients to live a normal life because it is difficult to predict when seizures will occur.

Source: Computer Methods and Programs in Biomedicine - March 2, 2017 Category: Bioinformatics Authors: Hyunho Chu, Chun Kee Chung, Woorim Jeong, Kwang-Hyun Cho Source Type: research