Abstract: A system for adjusting neuromodulation parameters used by a neuromodulator operably connected to a plurality of electrodes to modulate a neural target, may comprise a translation trigger detector configured to determine that a translation trigger has occurred, a first parameter setting storage configured to store first parameter settings for use by the neuromodulator to modulate the neural target, and a neuromodulation parameter translator. The neuromodulation parameter translator may be operably connected to the translation trigger detector to automatically translate the first parameter settings into a second parameter settings in response to determining the translation trigger has occurred, and replace the first parameter settings with the second parameter settings, or store the second parameter settings in a second parameter setting storage.

Abstract: A system for adjusting neuromodulation parameters used by a neuromodulator operably connected to a plurality of electrodes to modulate a neural target, may comprise a translation trigger detector configured to determine that a translation trigger has occurred, a first parameter setting storage configured to store first parameter settings for use by the neuromodulator to modulate the neural target, and a neuromodulation parameter translator. The neuromodulation parameter translator may be operably connected to the translation trigger detector to automatically translate the first parameter settings into a second parameter settings in response to determining the translation trigger has occurred, and replace the first parameter settings with the second parameter settings, or store the second parameter settings in a second parameter setting storage.

Abstract: A computer implemented system and method facilitates a cycle of generation, sharing, and refinement of volumes related to stimulation of anatomical tissue, such as brain or spinal cord stimulation. Such volumes can include target stimulation volumes, side effect volumes, and volumes of estimated activation. A computer system and method also facilitates analysis of groups of volumes, including analysis of differences and/or commonalities between different groups of volumes.

Abstract: A computer implemented system and method facilitates a cycle of generation, sharing, and refinement of volumes related to stimulation of anatomical tissue, such as brain or spinal cord stimulation. Such volumes can include target stimulation volumes, side effect volumes, and volumes of estimated activation. A computer system and method also facilitates analysis of groups of volumes, including analysis of differences and/or commonalities between different groups of volumes.

Abstract: A method for programming an electrical stimulation system including at least one implantable electrical stimulation lead including a plurality of electrodes that includes receiving a target and a location of the at least one implantable electrical stimulation lead; receiving at least one stimulation criterion; for each of the at least one stimulation criterion, identifying one or more values of a cost parameter that meet the stimulation criterion, wherein the cost parameter includes a ratio of a cost of stimulating at least one defined region of tissue over a benefit of stimulating a region of the target; and providing at least one of the one or more values of the cost parameter that meet the at least one stimulation criterion to a user or the electrical stimulation system to assist in programming the electrical stimulation system.

Abstract: An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.

Abstract: An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.

Abstract: Systems and methods for creating, maintaining, and remotely modifying stimulation settings for a neuromodulation therapy are discussed. An exemplary system includes an implantable stimulator to provide electrostimulation via a lead comprising a plurality of electrodes, and a programming device. The programming device identifies a search space of electrode configurations and parameter values for the lead, and determines, based on a clinical response indicator under a first patient state, at least one base stimulation setting including an optimal electrode configuration and an optimal stimulation parameter value from the identified search space. The system includes a remotely controlled therapy titration device that can modify the base stimulation setting under a second patient state based on an evaluation of a modified clinical response indicator. The modified base stimulation setting may be stored in the memory, or used by the implantable stimulator to deliver electrostimulation.

Abstract: A programming algorithm is disclosed to efficiently select stimulation parameters for a patient having a Deep Brain Stimulation (DBS) implant, which is especially useful in optimizing stimulation when the DBS implant includes a directional lead capable of providing simulation at a rotational angle ?. The algorithm preferably first simultaneously determines an optimal longitudinal position (Lopt) and amplitude (Iopt1) for stimulation along the lead. This occurs by the algorithm efficiently selecting various values for L and I at which stimulation can be tried on the patient and scored. Once Lopt is determined, and if rotational optimization is possible at this longitudinal position, the algorithm simultaneously determines an optimal rotational angle (?opt) and amplitude (Iopt2) for stimulation around the lead at the optimized longitudinal position Lopt. This also occurs by the algorithm efficiently selecting various values for ? and I at which stimulation can be tried on the patient and scored.

Abstract: A system for estimating a volume of activation around an implanted electrical stimulation lead for a set of stimulation parameters includes a display; and a processor coupled to the display and configured to: receive a set of stimulation parameters including a stimulation amplitude and a selection of one of more electrodes of the implanted electrical stimulation lead for delivery of the stimulation amplitude; determine an estimate of the volume of activation based on the set of stimulation parameters using the stimulation amplitude and a database including a plurality of planar distributions of stimulation threshold values and a map relating the planar distributions to spatial locations based on the one or more electrodes of the implanted electrical stimulation lead selected for delivery of the stimulation amplitude; and output on the display a graphical representation of the estimate of the volume of activation.

Abstract: A system for estimating a volume of activation around an implanted electrical stimulation lead for a set of stimulation parameters includes a display; and a processor coupled to the display and configured to: receive a set of stimulation parameters including a stimulation amplitude and a selection of one of more electrodes of the implanted electrical stimulation lead for delivery of the stimulation amplitude; determine an estimate of the volume of activation based on the set of stimulation parameters using the stimulation amplitude and a database including a plurality of planar distributions of stimulation threshold values and a map relating the planar distributions to spatial locations based on the one or more electrodes of the implanted electrical stimulation lead selected for delivery of the stimulation amplitude; and output on the display a graphical representation of the estimate of the volume of activation.

Abstract: A system may comprise a controller configured to implement an algorithm on a received input to produce an output, and a system input operably connected to the controller and configured for use to enter at least one input into the algorithm. The at least one input may include: one or more sensor inputs or one or more inputs from smart appliances or one or more user inputs regarding at least one of time of day or mental or physical state; or at least one of a user-inputted disease, a user-inputted disease state, or a user-inputted symptom-related information into the algorithm. The controller may be configured to provide instructions through the system output to implement a system action. The algorithm implemented by the controller may be configured to identify one, or a combination of more than one, of the neuromodulation modes as a candidate neuromodulation mode based on the input(s).

Abstract: Systems and methods for determining a parameter set and programming a neuromodulation system with the parameter set are disclosed. The system includes a user interface having a display screen to display simplified graphical representations (SGRs) of the lead with at least one virtual electrode (VE) that represents one or more electrodes, and control elements. The SGRs of the lead can provide longitudinal and circumferential representations of the VE, respectively representing longitudinal or circumferential position, size, shape, or spread of the VE. The control elements may include longitudinal and circumferential control elements to enable the user to respectively adjust the longitudinal or circumferential position, size, shape, or spread of the VE. The system may generate the neuromodulation parameter set using the longitudinal and circumferential representations of the VE, and program the neuromodulation system with the neuromodulation parameter set.

Abstract: A system for adjusting neuromodulation parameters used by a neuromodulator operably connected to a plurality of electrodes to modulate a neural target, may comprise a translation trigger detector configured to determine that a translation trigger has occurred, a first parameter setting storage configured to store first parameter settings for use by the neuromodulator to modulate the neural target, and a neuromodulation parameter translator. The neuromodulation parameter translator may be operably connected to the translation trigger detector to automatically translate the first parameter settings into a second parameter settings in response to determining the translation trigger has occurred, and replace the first parameter settings with the second parameter settings, or store the second parameter settings in a second parameter setting storage.

Abstract: This document discusses, among other things, systems and methods for delivering electrostimulation to specific tissue of a patient. An example of a system can receive a three-dimensional voxelized model representing a plurality of regions each specified as a target region or an avoidance region. The system includes control circuitry to determine a metric value using the voxelized model. The metric value indicates a clinical effect of electrostimulation on the plurality of regions according to a stimulation current and a current fractionalization. The control circuitry can determine a desired stimulation current that results in a first metric value satisfying a clinical effect condition. The system can generate a stimulation configuration including the desired stimulation current and the current fractionalization corresponding to the first metric value, and deliver tissue stimulation according to the stimulation configuration.

Abstract: A system or method for identifying sets of stimulation parameters can include receiving at least one image of a region of a patient; registering the at least one image with an anatomical or physiological atlas that identifies different anatomical or physiological structures; identifying a desired stimulation region using the at least one image; comparing the desired stimulation region with each of a plurality of predetermined estimated stimulation regions, where each of the estimated stimulation regions is a calculated estimate of a stimulation volume for a corresponding set of electrical stimulation parameters; selecting one of the predetermined estimated stimulation regions based on the comparing; and providing the corresponding set of electrical stimulation parameters for the selected one of the predetermined estimated stimulation regions to a user or an electrical stimulation device.

Abstract: A system or method for identifying sets of stimulation parameters can include receiving at least one image of a region of a patient; registering the at least one image with an anatomical or physiological atlas that identifies different anatomical or physiological structures; identifying a desired stimulation region using the at least one image; comparing the desired stimulation region with each of a plurality of predetermined estimated stimulation regions, where each of the estimated stimulation regions is a calculated estimate of a stimulation volume for a corresponding set of electrical stimulation parameters; selecting one of the predetermined estimated stimulation regions based on the comparing; and providing the corresponding set of electrical stimulation parameters for the selected one of the predetermined estimated stimulation regions to a user or an electrical stimulation device.

Abstract: A system for adjusting neuromodulation parameters used by a neuromodulator operably connected to a plurality of electrodes to modulate a neural target, may comprise a translation trigger detector configured to determine that a translation trigger has occurred, a first parameter setting storage configured to store first parameter settings for use by the neuromodulator to modulate the neural target, and a neuromodulation parameter translator. The neuromodulation parameter translator may be operably connected to the translation trigger detector to automatically translate the first parameter settings into a second parameter settings in response to determining the translation trigger has occurred, and replace the first parameter settings with the second parameter settings, or store the second parameter settings in a second parameter setting storage.

Abstract: Medical device systems, methods, and algorithms are disclosed for providing complex stimulation waveforms. The waveforms may selectively modulate or activate specific neural targets or selected ratios of specific neural targets. Some of the waveforms include pre-pulse phases defined by parameters, the value of which changes during the pre-pulse phase. Also disclosed herein are graphical user interfaces (GUIs) that allow the selection of waveforms configured to selectively modulate or activate specific neural targets or selected ratios of the neural targets. Adjustable parameters of the waveforms are adjusted automatically based on selection of user-defined parameters.

Abstract: An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.