EEGmaissa

EEGmaissa is a software tool designed for the analysis and visualization of electroencephalography (EEG) data. It is developed by the University of Massachusetts Medical School and is available as open-source software. EEGmaissa provides a user-friendly interface that allows researchers and clinicians to process and analyze EEG data efficiently. The software supports various file formats, including EDF, BDF, and GDF, making it compatible with a wide range of EEG recording devices. Key features of EEGmaissa include signal preprocessing, artifact rejection, and advanced signal processing techniques such as independent component analysis (ICA) and time-frequency analysis. The tool also offers visualization options for both raw and processed EEG data, including spectrograms and topographic maps. EEGmaissa is particularly useful for researchers studying brain function, epilepsy, and other neurological disorders. Its open-source nature allows for customization and extension by the user community, contributing to its ongoing development and improvement.