brain death is defined as the permanent, irreversible and concurrent loss of all brain and brain stem functions. brain death diagnosis is based on clinical criteria and it is not routine to use paraclinical studies. in some countries, electroencephalogram (eeg) is performed in all patients for the determination of brain death while there is some skepticism in relying on eeg as a confirmatory te...

MNEflow is a Python package for applying deep neural networks to multichannel electroencephalograpic (EEG) and magnetoencephalographic (MEG) measurements. This software comprises Tensorflow-based implementations of several popular convolutional network (CNN) models EEG–MEG data introduces flexible pipeline enabling easy application the most common preprocessing, validation, model interpretation...

abstract background and aims: paper-pencil tests have always its own problems in the mental disorders evaluation, including learning questions, bad or good blazon are the problems with this methodology. this study aimed to propose a new alternative method of measuring mental disorders without paper-pencil test using eeg. methods: the research society involved depressed patients referred the psy...

Background: Muscle fatigue has been known to influence brain activity, but very little is known about how cortical centers respond to muscle fatigue.Objective: This study was conducted to investigate the effects of muscle contraction and fatigue induced by two different percents of maximal voluntary contraction (MVC) on Electroencephalography (EEG) signals.Material and Methods: In t...

Objective: In this research, a new approach termed as “evolutionary-based brain map” is presented as a diagnostic tool to classify schizophrenic and control subjects by distinguishing their electroencephalogram (EEG) features.Methods: Particle swarm optimization (PSO) is employed to find discriminative frequency bands from different EEG channels. By deploying the energy of those selected fr...