Artificial Intelligence for EEG Extraction

Electroencephalography (EEG) is a powerful tool for monitoring brain activity and understanding cognitive processes. In recent years, the integration of Artificial Intelligence (AI) techniques has revolutionized EEG signal extraction and analysis, enabling deeper insights into brain function and facilitating applications in various domains such as healthcare, neuroscience, and human-computer interaction. This paper provides a comprehensive technical review of AI methods for EEG extraction, processing, and analysis. It discusses the challenges and opportunities associated with EEG data, reviews state-of-the-art AI algorithms for EEG feature extraction and classification, and explores emerging trends and future directions in the field.