ELECTROCHEMICAL-BASED EEG BRAIN SIGNAL RECOGNITION USING ARTFICIAL INTELLIGENCE TECHNIQSUES

sameh Nessim Attia, Mohammad Sammany, Ayman El Sayed El Sayed Haggag, Tamer Moneir Nassef

Abstract

The pivotal role of electrochemistry in biologically relevant systems is underscored by its ability to elucidate the chemical interactions occurring in neural networks of the brain. This has been significantly enhanced by advancements in electrochemical principles, spurred by the mid-20th-century technological revolution. Recent advancements in electrochemical methodologies have broadened their ap...

Keywords

Electroencephalography

SIGNAL (programming language)

Computer science

Pattern recognition (psychology)

Speech recognition

Artificial intelligence

Neuroscience

Psychology

Programming language

2024

Article

Institution

Electronics Technology Department, Faculty of Technology and Education, Helwan University,

Faculty of Pharmacy, Heliopolis University for Sustainable Development,

Computer and Software Engineering Department, Faculty of Engineering, Misr University for Science and Technology,

Software (Spain)

2-Y Citation Average

0.712

DOI

https://doi.org/10.21608/ejchem.2024.291437.9748

Language

en

Country

Egypt,

Spain

ELECTROCHEMICAL-BASED EEG BRAIN SIGNAL RECOGNITION USING ARTFICIAL INTELLIGENCE TECHNIQSUES

Egyptian Journal of Chemistry

sameh Nessim Attia, Mohammad Sammany, Ayman El Sayed El Sayed Haggag, Tamer Moneir Nassef

Abstract

The pivotal role of electrochemistry in biologically relevant systems is underscored by its ability to elucidate the chemical interactions occurring in neural networks of the brain. This has been significantly enhanced by advancements in electrochemical principles, spurred by the mid-20th-century technological revolution. Recent advancements in electrochemical methodologies have broadened their ap...