Neuralytix, LLC

Darren P Scarfe

Christopher Wybo

David S Nay

Lukas T Scarfe

Samantha J O'Neil

Gary Gordon

A method for detecting an artificially induced neuromuscular response in a subject includes receiving a mechanomyography (MMG) output signal from a mechanical sensor in contact with a muscle of the subject; applying one or more conditioning filters to the MMG output signal to generate a conditioned signal and analyzing the conditioned signal to identify one or more candidate waveforms. Each candidate waveform meets one or more analog or digital signal characteristic criteria associated with an artificially induced neuromuscular response. The method then compares a first candidate waveform to a second candidate waveform to determine a degree of similarity between the first and second candidate waveforms, and provides an alert to a user that indicates detection of the artificially induced neuromuscular response when the degree of similarity exceeds a predetermined threshold.

Intraoperative neural monitoring method

An intraoperative neural monitoring system for use during a surgical procedure on a subject includes a mechanical sensor and a processor. The mechanical sensor is configured to monitor a physical motion of a muscle of the subject and provide a mechanomyography (MMG) signal corresponding to the monitored physical motion. The processor is configured to receive the MMG signal, apply a wavelet transform to the MMG signal, and determine, from the output of the wavelet transform, if the monitored physical motion of the muscle is an artificially induced neuromuscular response that is attributable to an applied electrical stimulus. If the processor determines that the monitored physical motion of the muscle is an artificially induced neuromuscular response, it then provides an indication to a user.

Intraoperative neural monitoring system 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.

Intraoperative neural monitoring method utilizing wavelet-based event detection

A method of alerting a user to the existence of an artificially induced neuromuscular response in a subject includes: generating a series of electrical stimuli at a predetermined period with an electrode disposed at a distal end portion of an elongate medical device; detecting a series of mechanomyographic (MMG) responses of the subject using a mechanical sensor, each MMG response indicative of a contraction of a muscle of the subject; determining a degree of statistical confidence that the detected series of MMG responses was artificially induced by the series of electrical stimuli; and outputting, to the user, both an alert that a series of MMG responses has been detected, and the determined degree of statistical confidence that the detected series of MMG responses was artificially induced by the series of electrical stimuli.

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LaSalle, Canada

Darren P Scarfe