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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 8, AUGUST 2024

REAL TIME BRAIN MONITORING SYSTEM USING AI

Ms.S.Athunniya Priya Dharsini, Mrs.P. NishaPriya B.E., M.E., (Ph.D.,)

DOI: 10.17148/IJARCCE.2024.13811

Abstract: Brain monitoring systems have gained significant attention due to their potential in medical diagnostics, neuroscience research, and brain-computer interfaces. This paper presents a real-time brain monitoring system utilizing artificial intelligence (AI) to enhance the accuracy and efficiency of brain activity analysis. The system employs advanced machine learning algorithms to process electroencephalogram (EEG) signals, providing immediate insights into neural activity. Our results demonstrate that the AI-driven approach significantly improves the detection and classification of brain states compared to traditional methods. This study offers valuable contributions to the development of more responsive and precise brain monitoring technologies.

Keywords: Real-time monitoring, EEG, Artificial Intelligence, Brain activity, Healthcare

How to Cite:

[1] Ms.S.Athunniya Priya Dharsini, Mrs.P. NishaPriya B.E., M.E., (Ph.D.,), “REAL TIME BRAIN MONITORING SYSTEM USING AI,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13811