Neuralytix, LLC

Nike, Inc.

David S Nay

Christopher Wybo

Samantha J O'Neil

Lukas T Scarfe

Darren P Scarfe

Christopher Andon

Hien Tommy Pham

Gary Gordon

A method for assessing nerve health during a surgical procedure includes: applying one or more electrical stimuli proximate to the target nerve during the surgical procedure; detecting a muscle response evoked by the one or more electrical stimuli; determining at least one nerve function parameter indicative of the health or function of the target nerve; identifying a target range for the at least one nerve function parameter adapted for the target nerve, the target range being predictive of a desired nerve health status of the target nerve; and outputting an indication of the determined at least one nerve function parameter relative to the identified target range to provide real-time feedback during the surgical procedure involving the target nerve.

System and method for nerve health assessment

A method for refining a nerve health assessment model used during surgical procedures, includes accessing a database storing historical patient data; analyzing the historical patient data to generate or update a predictive model configured to estimate at least one of: a predicted post-operative outcome, an individualized target range for an intraoperative nerve function parameter, or a statistical risk profile for surgical complications; obtaining current intraoperative nerve function measurements; receiving actual post-operative outcome data for the current patient; updating the database to include new patient data associated with the current patient; and refining the predictive model based at least in part on the new patient data added to the database.

System and method for refining nerve health assessment models

A method for intraoperative neural monitoring during a spinal decompression procedure, performed by a system comprising a processor, includes: generating an electrical stimulus with a controlled electrical current; transmitting the stimulus to an electrode contacting a nerve of a subject; receiving a mechanomyography (MMG) output signal from a mechanical sensor contacting a muscle innervated by the nerve; determining a nerve function parameter; and displaying the determined nerve function parameter relative to an identified target current range or statistical profile.

System and method for assessing nerve health during a spinal decompression procedure

A method for assessing nerve health during a spinal decompression procedure includes: transmitting electrical stimuli to a nerve; detecting muscle responses evoked by the stimuli; determining multiple nerve function parameters based on the responses; calculating a nerve function index based on a weighted combination of the parameters; storing the index in memory; and displaying the index. The nerve function parameters include at least two of: minimum stimulation threshold, maximal stimulation threshold, and magnitude of maximal muscle response.

System and method for assessing nerve health during a spinal decompression procedure using a calculated nerve function index

A method for assessing nerve health during a spinal decompression procedure includes: accessing a database containing historical patient data; receiving patient data of a target patient; identifying a subset of historical patients with similar pre-operative characteristics; generating an individualized target range for at least one nerve function parameter based on the subset; measuring an actual nerve function parameter of the target patient during the procedure; and displaying a graphical representation of the measured parameter relative to the individualized target range.

System and method for empirical assessment of nerve health during a spinal decompression procedure

A method of displaying or providing a multi-layer digital asset in a digital environment includes retrieving, from a digital blockchain ledger, data associated with a first, primary non fungible cryptographic token (NFT). The data includes a first pointer identifying a first retrieval location of a first digital graphics file representative of a primary digital asset, and further includes a reference to a second, sub-asset NFT. The sub-asset NFT includes a second pointer that identifies a second digital graphics file. The method further includes retrieving the first digital graphics file and the second digital graphics file, layering an image from the second digital graphics file on the primary digital asset to form the multi-layer digital asset, and displaying the multi-layer digital asset in a digital environment.

Multi-layer digital asset architecture for virtual and mixed reality environments

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.

Intraoperative neural monitoring method with statistical confidence determination

A method of displaying a multi-layer digital asset in a digital environment includes retrieving, from a digital blockchain ledger, data associated with a first, primary non fungible cryptographic token (NFT) and data associated with a second, sub-asset NFT. The data associated with the first NFT identifies a first retrieval location of a first digital graphics file that is representative of a primary digital asset. The data associated with the second NFT identifies a second retrieval location of a second digital graphics file. The method includes retrieving, the first digital graphics file from the first retrieval location, retrieving the second digital graphics file from the second retrieval location, layering an image from the second digital graphics file onto the primary digital asset to form the multi-layer digital asset, and displaying the multi-layer digital asset in a digital environment.

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Novi, MI, United States of America

David S Nay