<p>iSync uses independent component analysis (ICA), a statistical method to separate independent sources from superimposed signals. It is the most common method that has been used in EEG data decomposition, and can be used to identify and remove the artifacts from raw EEG data.&nbsp;</p><p>The iSync database initially cleans out artifact with the application of high-pass and low-pass filers. This reduces distortions (artifacts) from common physiological sources such as face or eye muscle movements, as well as extrinsic non-physiological sources such as electrical devices, power lines, and poor electrode contact. This is the only database currently on the market (2020) that uses the automatic cleaning process (one can choose not to have this process undertaken).</p><p>Features in the iSyncBrain database include time series, power spectrum density (PSD), component scalp map (Topomap), dipole source location (Source location) extracted from ICA are shown for each component.</p>