# US 10,118,036 B2 · Neuromodulation using stochastically-modulated stimulation parameters > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,118,036 B2 - Document ID: US10118036B2 - Status: Granted - Kind: B2 - Application number: 15/818,186 - Filed: 2017-11-20 - Published: 2018-04-19 - Granted: 2018-11-06 - Earliest claimed: 2015-05-28 - Assignees: Boston Scientific Neuromodulation Corporation - Applicants: Boston Scientific Neuromodulation Corporation - Inventors: Changfang Zhu - Web page: https://patentgrep.com/patent/US10118036B2 ## CPC - A61N 1/36071: {Pain} - A61N 1/36189: {using modulation techniques} - A61N 1/37247: {User interfaces, e.g. input or presentation means} - A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B) ## Abstract An example of a system may include an electrode arrangement and a neuromodulation device configured to use electrodes in the electrode arrangement to generate a neuromodulation field. The neuromodulation device may include a neuromodulation generator, a neuromodulation control circuit and a storage. The storage may include a stochastically-modulated neuromodulation parameter set and the stochastically-modulated neuromodulation parameter set may include at least one stochastically-modulated parameter. The controller may be configured to control the neuromodulation generator using the stochastically-modulation parameter set to generate the neuromodulation field. ## Claims ### Claim 1 A system for use with a neuromodulation device, the neuromodulation device including a neuromodulation generator, a neuromodulation control circuit and a storage, the storage including a neuromodulation parameter set, the system comprising: an interface configured to receive at least one selection; and a stochastic modulator configured to use at least one modulation model to stochastically modulate at least one neuromodulation parameter, the stochastic modulator configured to provide the at least one stochastically-modulated parameter based at least in part on the received selection, wherein the stochastic modulator is configured to communicate the at least one stochastically-modulated parameter to the neuromodulation device, and the neuromodulation device is configured to use electrodes in an electrode arrangement to generate a neuromodulation field, and the controller of the neuromodulation device is configured to control the neuromodulation generator using the neuromodulation parameter set with the stochastically-modulated parameter to generate the neuromodulation field. ### Claim 2 (depends on 1) The system of claim 1, wherein the at least one selection includes at least one selected stochastic modulation model to be used by the stochastic modulator to stochastically-modulate the at least one neuromodulation parameter. ### Claim 3 (depends on 2) The system of claim 2, wherein the at least one selected stochastic modulation model includes at least one of a Poisson distribution or a normal distribution. ### Claim 4 (depends on 1) The system of claim 1, wherein the at least one selection includes at least one selected neuromodulation parameter to be stochastically-modulated by the stochastic modulator. ### Claim 5 (depends on 4) The system of claim 4, wherein the at least one selected neuromodulation parameter to be stochastically-modulated includes a temporal neuromodulation parameter for use in controlling timing of the neuromodulation. ### Claim 6 (depends on 4) The system of claim 4, wherein the at least one selected neuromodulation parameter to be stochastically-modulated includes a spatial neuromodulation parameter for use in controlling a location and shape of the neuromodulation field. ### Claim 7 (depends on 1) The system of claim 1, wherein the at least one selection includes at least one selected modulation parameter value that at least partially defines the at least one stochastic modulation model. ### Claim 8 (depends on 7) The system of claim 7, wherein the selected modulation parameter value that at least partially defines the at least one stochastic modulation model includes a lambda for a Poisson distribution. ### Claim 9 (depends on 7) The system of claim 7, wherein the selected modulation parameter value that at least partially defines the at least one stochastic modulation model includes a mean and standard deviation. ### Claim 10 (depends on 1) The system of claim 1, wherein the at least one stochastically-modulated neuromodulation parameter has a probabilistic distribution, and the at least one selection includes at least one selected value to prohibit values in the probabilistic distribution from being included in the stochastically-modulated parameter set. ### Claim 11 (depends on 10) The system of claim 10, wherein the at least one selected value to prohibit values includes a sigma value for a normal distribution. ### Claim 12 (depends on 1) The system of claim 1, wherein the at least one selection includes at least one selected sampling rule to sample the neuromodulation parameter set that includes the at least one stochastically-modulated neuromodulation parameter to provide a plurality of stochastic neuromodulation samples. ### Claim 13 (depends on 1) The system of claim 1, wherein the neuromodulation parameter set with the at least one stochastically-modulated neuromodulation parameter includes stochastic neuromodulation samples, and the at least one selection includes at least one selected timing control to control timing for moving between randomly or pseudo-randomly-selected samples of the stochastic neuromodulation samples. ### Claim 14 (depends on 1) The system of claim 1, wherein the neuromodulation parameter set with the at least one stochastically-modulated neuromodulation parameter includes stochastic neuromodulation samples; and the at least one selection includes at least one selected stochastic process rule to determine whether a subsequent sample within a sequence of randomly- or pseudo-randomly-selected samples of the stochastic neuromodulation samples is acceptable. ### Claim 15 (depends on 1) The system of claim 1, further comprising the neuromodulator. ### Claim 16 A method, comprising: using a stochastic modulator to stochastically modulate at least one neuromodulation parameter within a neuromodulation parameter set for use by a neuromodulation device to generate a neuromodulation field from an electrode arrangement; and receiving at least one selection via an interface, and using the stochastic modulator to provide the at least one stochastically-modulated parameter in the neuromodulation parameter set based at least in part on the received selection. ### Claim 17 (depends on 16) The method of claim 16, wherein the at least one selection includes at least one selected stochastic modulation model to be used by the stochastic modulator to stochastically-modulate the at least one neuromodulation parameter. ### Claim 18 (depends on 16) The method of claim 16, wherein the at least one selection includes at least one selected neuromodulation parameter to be stochastically-modulated by the stochastic modulator. ### Claim 19 (depends on 16) The method of claim 16, wherein the at least one selection includes at least one selected modulation parameter value that at least partially defines the at least one stochastic modulation model. ### Claim 20 A non-transitory machine-readable medium including instructions, which when executed by a machine having a stochastic modulator and an interface, cause the machine to: use a stochastic modulator to stochastically modulate at least one neuromodulation parameter within a neuromodulation parameter set for use by a neuromodulation device to generate a neuromodulation field from an electrode arrangement; and receive at least one selection via the interface, and use the stochastic modulator to provide the at least one stochastically-modulated parameter in the neuromodulation parameter set based at least in part on the received selection.