INTRAOPERATIVE NEURAL MONITORING METHOD UTILIZING WAVELET-BASED EVENT DETECTION

A method of alerting a user to an artificially induced neuromuscular response in a subject includes generating a mechanomyography (MMG) output signal corresponding to a mechanical motion of a muscle of a subject, applying a wavelet transform to the MMG output signal to determine a convolution coefficient for each of a plurality of daughter wavelets, summing the convolution coefficients determined across the plurality of daughter wavelets at each timestep across a plurality of timesteps to generate a net-convolution coefficient (NCC), identifying one or more peaks in the NCC via a peak finding algorithm, and alerting a user of an artificially induced neuromuscular response following the identification of one or more peaks in the NCC. Each daughter wavelet of the plurality of daughter wavelets is a time-scaled variant of a common mother wavelet, and the convolution coefficient is indicative of a similarity between the daughter wavelet and the MMG output signal.