Abstract: A training simulator for intraoperative neuromonitoring (IONM) systems includes channels where at least one of the channels is identified as an active stimulation channel and a subset of the rest of the channels is identified as reference or pick up sites. Channels of the subset having signal data that exceed a predefined threshold are retained for further processing, while channels with signal data that do not exceed the threshold are eliminated from further reporting. Response data for the remaining channels are generated in advance of a future time when the response would occur. The generated data is time stamped and stored for display at a time window when requested by the system.

Abstract: An intraoperative neurophysiological monitoring (IONM) system for identifying and assessing neural structures comprises at least one probe, at least one reference electrode, at least one strip or grid electrode, at least one sensing electrode, and a stimulation module. Threshold responses determined by stimulation during a surgical procedure are used to identify and assess functionality of neural structures. The identified neural structures are avoided and preserved while diseased or damaged tissue is resected during said surgical procedure.