# US 10,478,096 B2 · Neural event detection > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,478,096 B2 - Document ID: US10478096B2 - Status: Granted - Kind: B2 - Application number: 13/965,457 - Filed: 2013-08-13 - Published: 2015-02-19 - Granted: 2019-11-19 - Earliest claimed: 2013-08-13 - Assignees: Innovative Surgical Solutions, LLC - Applicants: Innovative Surgical Solutions, LLC - Inventors: Christopher Wybo; Darren Scarfe; Aashish Shah - Web page: https://patentgrep.com/patent/US10478096B2 ## CPC - A61B 5/1106: {to assess neuromuscular blockade, e.g. to estimate depth of anaesthesia} - A61B 5/1109: {of wounds, e.g. at the operation site} - A61B 2505/05: Surgical care - A61B 2562/0204: Acoustic sensors - A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches - A61B 2562/0261: Strain gauges - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A neural monitoring system for detecting an artificially-induced mechanical muscle response to an electrical stimulus at a stimulation frequency includes a mechanical sensor and a processor in communication with the mechanical sensor. The mechanical sensor is configured to be placed in mechanical communication with the muscle and to generate a mechanomyography output signal corresponding to a sensed mechanical movement of the muscle. The processor is configured to receive the mechanomyography output signal from the mechanical sensor and determine a frequency component of the mechanomyography output signal that has a peak magnitude and to detect the occurrence of an artificially-induced mechanical muscle response therefrom. ## Claims ### Claim 1 A neural monitoring system for detecting an artificially-induced mechanical response of a muscle to an electrical stimulus provided within an intracorporeal treatment area of a human subject at a stimulation frequency, the intracorporeal treatment area including a nerve that innervates the muscle, the neural monitoring system comprising: a non-invasive mechanical sensor configured to be placed in mechanical communication with the muscle and to generate a mechanomyography output signal corresponding to a sensed mechanical movement of the muscle; and a processor in communication with the mechanical sensor and configured to: receive the mechanomyography output signal from the mechanical sensor; determine a frequency component of the mechanomyography output signal, wherein the frequency component has a peak magnitude relative to adjacent frequencies; and provide an indication of an artificially-induced mechanical muscle response to a user if the determined frequency component is either equal to, or an integer multiple of the stimulation frequency. ### Claim 2 (depends on 1) The neural monitoring system of claim 1, wherein the processor is further configured to attenuate frequency content of the mechanomyography output signal that is above a cutoff frequency. ### Claim 3 (depends on 2) The neural monitoring system of claim 2, wherein the cutoff frequency is in the range of about 20 Hz to about 50 Hz. ### Claim 4 (depends on 1) The neural monitoring system of claim 1, wherein the processor is configured to determine a frequency component of the mechanomyography output signal that has a peak magnitude by: converting the received mechanomyography output signal from a time domain to a frequency domain, wherein the frequency domain is characterized by a plurality of discrete frequencies, each having a corresponding magnitude; and identifying the frequency component from the plurality of discrete frequencies that corresponds to a magnitude peak. ### Claim 5 (depends on 1) The neural monitoring system of claim 1, wherein the frequency component is within the range of greater than 0 Hz to about 20 Hz. ### Claim 6 (depends on 1) The neural monitoring system of claim 1, wherein the mechanical sensor includes an accelerometer, a microphone, a strain gauge, or a piezoelectric device. ### Claim 7 (depends on 1) The neural monitoring system of claim 1, wherein the frequency component is a fundamental frequency of the mechanomyography output signal. ### Claim 8 (depends on 1) The neural monitoring system of claim 1, further comprising an elongate medical instrument that is configured to selectively provide the electrical stimulus within the intracorporeal treatment area of the subject at the stimulation frequency. ### Claim 9 (depends on 8) The neural monitoring system of claim 8, wherein the electrical stimulus includes a periodic pulse having a pulse width between about 30 μs and about 500 μs. ### Claim 10 A neural monitoring system for detecting an artificially-induced mechanical response of a muscle to an electrical stimulus provided within an intracorporeal treatment area of a human subject at a stimulation frequency, the intracorporeal treatment area including a nerve that innervates the muscle, the neural monitoring system comprising: a non-invasive mechanical sensor configured to be placed in mechanical communication with the muscle and to generate a mechanomyography output signal corresponding to a sensed mechanical movement of the muscle; and a processor in communication with the mechanical sensor and configured to: receive the mechanomyography output signal from the mechanical sensor; determine a fundamental frequency of the mechanomyography output signal; provide an indication of an artificially-induced mechanical muscle response to a user if the determined fundamental frequency is either equal to, or an integer multiple of the stimulation frequency. ### Claim 11 (depends on 10) The neural monitoring system of claim 10, wherein the processor is further configured to attenuate frequency content of the mechanomyography output signal that is above a cutoff frequency. ### Claim 12 (depends on 11) The neural monitoring system of claim 11, wherein the cutoff frequency is in the range of about 20 Hz to about 50 Hz. ### Claim 13 (depends on 10) The neural monitoring system of claim 10, wherein the processor is configured to determine a fundamental frequency of the mechanomyography output signal by: converting the received mechanomyography output signal from a time domain to a frequency domain, wherein the frequency domain is characterized by a plurality of discrete frequencies, each having a corresponding magnitude; identifying a subset of the plurality of discrete frequencies wherein each discrete frequency belonging to the subset corresponds to a respective magnitude peak; and determining a greatest common factor of the frequencies belonging to the subset. ### Claim 14 (depends on 10) The neural monitoring system of claim 10, wherein the fundamental frequency is within the range of greater than 0 Hz to about 10 Hz. ### Claim 15 (depends on 10) The neural monitoring system of claim 10, wherein the mechanical sensor includes an accelerometer, a microphone, a strain gauge, or a piezoelectric device. ### Claim 16 (depends on 10) The neural monitoring system of claim 10, further comprising an elongate medical instrument that is configured to selectively provide the electrical stimulus within the intracorporeal treatment area of the subject at the stimulation frequency. ### Claim 17 (depends on 16) The neural monitoring system of claim 16, wherein the electrical stimulus includes a periodic pulse having a pulse width between about 30 μs and about 500 μs. ### Claim 18 A neural monitoring system for detecting an artificially-induced mechanical response of a muscle to an electrical stimulus provided within an intracorporeal treatment area of a human subject at a stimulation frequency, the intracorporeal treatment area including a nerve that innervates the muscle, the neural monitoring system comprising: a non-invasive mechanical sensor configured to be placed in mechanical communication with the muscle and to generate a mechanomyography output signal corresponding to a sensed mechanical movement of the muscle; and a processor in communication with the mechanical sensor and configured to: receive the mechanomyography output signal from the mechanical sensor; determine a frequency component of the mechanomyography output signal, wherein the frequency component has a peak magnitude relative to adjacent frequencies; and provide an indication of an artificially-induced mechanical muscle response to a user if the determined frequency component is either equal to, or an integer multiple of the stimulation frequency, and either: the determined frequency component is within the range of greater than 0 Hz to about 20 Hz; or the peak magnitude is above an established noise floor by a threshold amount. ### Claim 19 (depends on 18) The neural monitoring system of claim 18, wherein the mechanical sensor includes an accelerometer, a microphone, a strain gauge, or a piezoelectric device.