What is EEG machine learning?

EEG machine learning refers to the application of machine learning algorithms to analyze and interpret electroencephalogram (EEG) data. EEG measures electrical activity in the brain, and machine learning techniques can help detect patterns, classify brain states, and even predict neurological conditions. This approach is widely used in research, healthcare, and brain-computer interface development to improve diagnostics and understand brain function. Machine learning enhances the accuracy and efficiency of EEG data analysis compared to traditional methods.