AH Osman, AA Alzahrani - IEEE Access, 2018 - ieeexplore.ieee.org
Currently, epilepsy disease (ED) is considered to be one of the gradual diseases in brain function over a period of several months or years. Seizure status is the primary common …
In the article, the machine learning classification of time realizations using the recurrence plot visualization is considered. Every time realization is converted into a matrix of …
Medicine is a complex field with highly trained specialists with extensive knowledge that continuously needs updating. Among them all, those who study the brain can perform …
MKM Rabby, AKMK Islam, S Belkasim… - Proceedings of the 2021 …, 2021 - dl.acm.org
In this research, a Principal Component Analysis (PCA) with Genetic Algorithm based Machine Learning (ML) approach is developed for the binary classification of epileptic …
EM Imah, A Widodo - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Electroencephalography (EEG) 1s a tool for monitoring brain activity which is important for identifying epilepsy seizure. Automatic epileptic seizure identification in EEG is a …
Traumatic brain injury (TBI) is a leading cause of disability globally. Many patients develop post-traumatic epilepsy, or recurrent seizures following TBI. In recent years, significant efforts …
MKM Rabby, AKMK Islam, S Belkasim… - Proceedings of the 2021 …, 2021 - dl.acm.org
In this research, a wavelet transform-based feature extraction approach is proposed for the detection of epileptic seizures from the EEG raw dataset. The proposed approach uses the …
Aim: Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of …
Background: Around 1% of the total population in the world suffers from epilepsy, a central nervous system disorder. Epilepsy is the neurological disorder of the human brain which can …