Analysis of Electroencephalography (EEG) Signals using Visualization Techniques

Mental Fatigue Assessment using recording Brain Signals: Electroencephalography

Background and Objectives: Mental fatigue is a condition triggered by prolonged cognitive activity. Mental fatigue causes brain over-activity. This is a condition where the brain cells become exhausted, hampering person productivity, and overall cognitive function. The aim of this study was to assess students’ mental fatigue using brain indices. Methods: The present descriptive - analytic stud...

Assessing the Effects of Alzheimer’s disease on EEG Signals Using the Entropy Measure: a Meta-Analysis

Introduction and Aims: Alzheimer’s disease is the most prevalent neurodegenerative disorder and a type of dementia. 80% of dementia in older adults is because of Alzheimer’s disease. According to multiple research articles, Alzheimer's has several changes in EEG signals such as slowing of rhythms, reduction in complexity and reduction in functional associations, and disordered functional commun...

Feature Analysis of Eeg Signals Using Som

The electroencephalogram (EEG) represents an efficient technique to measure and record brain electrical activity. The most common use of EEG includes the monitoring and diagnosis of the brain states and their disorders. It is based on the search of characteristic patterns in EEG signals and their evaluation. In terms of signal processing it uses feature analysis, more specifically feature extra...

EEG; electroencephalography.

Electroencephalography (eeg)

Electroencephalography is a domain concerning recording and interpretation of the electroencephalogram. Electroencephalogram (EEG) is a record of the electric signal generated by the cooperative action of brain cells, or more precisely, the time course of extracellular field potentials generated by their synchronous action. Electroencephalogram derives from the Greek words enkephalo (brain) and...