Abstract: Systems and methods for enhancing the accuracy of classifying a measurement by providing an artificial class. Seizure prediction systems may employ a classification system including an artificial class and a user interface for signaling uncertainty in classification when a measurement is classified in the artificial class.

Abstract: Systems and methods for neuromonitoring a subject are described. The system may include a stimulation assembly including a pulse generator that generates one or more stimulus waveforms; an electrode array coupled to the stimulation assembly and configured to deliver a stimulation signal to nervous system of the subject; a sensing assembly adapted to acquire a signal from a subject indicative of the subject's brain activity; a power supply configured to supply power to the stimulation assembly and the sensing assembly; and a timing controller programmed to control the use of the power supply by the stimulation assembly and the sensing assembly, said timing controller being programmed to control the time the sensing assembly is powered to acquire the signal to be substantially different than the time the stimulation assembly is powered to stimulate the subject.