Abstract: A system and method is operable to automatically determine the amplitude and latency of one or more evoked potential (EP) or event-related potential (ERP) from electroencephalography (EEG) data. The EEG data from an EEG scan is separated into one or more epochs containing the desired EP or ERP waveforms. Epochs corresponding to the same type of EP or ERP such as N100, P300, and N400 are averaged automatically. The averaged epochs are automatically filtered in the time-frequency domain using an automatically selected filtering mask associated with the type of EP or ERP. A corresponding peak is automatically identified from the filtered epoch, in which the amplitude and latency is automatically measured.

Abstract: A motor control score is automatically generated for a subject based on electroencephalography (EEG) data represented as a plurality of EEG waveforms obtained from a plurality of EEG electrodes. Each waveform is separated into at least one window, containing a portion of the EEG waveform representative of neural activity corresponding to a movement performed by the subject. At least one or more frequency components and/or signal components are determined from the EEG data in the window, and a motor control score is determined based on these components. The frequency components may correspond to event-related desynchronization (ERD) response frequency band and event-related synchronization (ERS) response frequency band. In other embodiments, the frequency components correspond to a phase response and the signal components correspond to a signal power spectrum density of the window, which are provided to a primary neural network model to determine the motor control score.