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
|
DOI:
10.17148/IJARCCE.2024.13811
