A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Automated epileptic seizures detection using multi-features and multilayer perceptron neural network
2018
Brain Informatics
Detection of epileptic seizure activities from long-term multi-channel electroencephalogram (EEG) signals plays a significant role in the timely treatment of the patients with epilepsy. Visual identification of epileptic seizure in long-term EEG is cumbersome and tedious for neurologists, which might also lead to human error. Therefore, an automated tool for accurate detection of seizures in a long-term multi-channel EEG is essential for the clinical diagnosis. This study proposes an algorithm
doi:10.1186/s40708-018-0088-8
pmid:30175391
pmcid:PMC6170940
fatcat:rtdehyoa5jhipdeec7f2eqjjdq