Abstract: A system is disclosed in one example which allows for modelling the wellness of a given Implantable Pulse Generator (IPG) patient. The modelling, embodied in an algorithm, uses one or more qualitative measurements and one or more quantitative measurements taken from the patient. The algorithm correlates the qualitative measurements to the various quantitative measurements to eventually, over time, learn which quantitative measurements best correlate to the qualitative measurements provided by the patient. The algorithm can then using current quantitative measurements predict a wellness factor or score for the patient, which is preferably weighted to favor the quantitative measurements that best correlate to that patient's qualitative assessment of therapy effectiveness. Additionally, the wellness factor may be used to adjust the stimulation program that the IPG device provides to the patient.

Abstract: A method for determining whether the relative position of electrodes used by a neurostimulation system has changed within a patient comprises determining the amplitude of a field potential at each of at least one of the electrodes, determining if a change in each of the determined electric field amplitudes has occurred, and analyzing the change in each of the determined electric field amplitudes to determine whether a change in the relative position of the electrodes has occurred. Another method comprises measuring a first monopolar impedance between a first electrode and a reference electrode, measuring a second monopolar impedance between second electrode and the reference electrode, measuring a bipolar impedance between the first and second electrodes, and estimating an amplitude of a field potential at the second electrode based on the first and second monopolar impedances and the bipolar impedance.

Abstract: A neurostimulation system configured for providing neurostimulation therapy to a patient. A user customizes a pulse pattern on a pulse-by-pulse basis. Electrical stimulation energy is delivered to at least one electrode in accordance with the customized pulse pattern.

Abstract: A neurostimulation system configured for providing neurostimulation therapy to a patient. A user customizes a pulse pattern on a pulse-by-pulse basis. Electrical stimulation energy is delivered to at least one electrode in accordance with the customized pulse pattern.

Abstract: A system and method for selecting leadwire stimulation parameters includes a processor iteratively performing, for each of a plurality of values for a particular stimulation parameter, each value corresponding to a respective current field: (a) shifting the current field longitudinally and/or rotationally to a respective plurality of locations about the leadwire; and (b) for each of the respective plurality of locations, obtaining clinical effect information regarding a respective stimulation of the patient tissue produced by the respective current field at the respective location; and displaying a graph plotting the clinical effect information against values for the particular stimulation parameter and locations about the leadwire, and/or based on the obtained clinical effect information, identifying an optimal combination of a selected value for the particular stimulation parameter and selected location about the leadwire at which to perform a stimulation using the selected value.

Abstract: An electrical stimulation system for use with a plurality of electrodes implanted within a tissue region comprises a neurostimulator configured for delivering electrical stimulation energy to the plurality of electrodes in accordance with a set of stimulation parameters, thereby injecting a charge into the tissue region, a control device configured for receiving user input to modify the set of stimulation parameters, and controller/processor circuitry configured for, in response to the user input computing a charge injection metric value as a function of a physical electrode parameter and an electrical source parameter for a first set of the electrodes, wherein the electrode set comprises at least two electrodes, comparing the computed charge injection metric value to a safety threshold value, and performing a corrective action based on the comparison.

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: A system is disclosed in one example which allows for modelling the wellness of a given Implantable Pulse Generator (IPG) patient. The modelling, embodied in an algorithm, uses one or more qualitative measurements and one or more quantitative measurements taken from the patient. The algorithm correlates the qualitative measurements to the various quantitative measurements to eventually, over time, learn which quantitative measurements best correlate to the qualitative measurements provided by the patient. The algorithm can then using current quantitative measurements predict a wellness factor or score for the patient, which is preferably weighted to favor the quantitative measurements that best correlate to that patient's qualitative assessment of therapy effectiveness. Additionally, the wellness factor may be used to adjust the stimulation program that the IPG device provides to the patient.

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 programming a neurostimulator may include a storage device and a pattern generator. The storage device may store a pattern library and one or more neuronal network models. The pattern library may include fields and waveforms of neuromodulation. The one or more neuronal network models may each be configured to allow for evaluating effects of one or more fields in combination with one or more waveforms in treating one or more indications for neuromodulation. The pattern generator may be configured to construct and approximately optimize a spatio-temporal pattern of neurostimulation and/or its building blocks for a specified range of varying conditions using at least one neuronal network model.

Abstract: An electrical stimulation system for use with a plurality of electrodes implanted within a tissue region comprises a neurostimulator configured for delivering electrical stimulation energy to the plurality of electrodes in accordance with a set of stimulation parameters, thereby injecting a charge into the tissue region, a control device configured for receiving user input to modify the set of stimulation parameters, and controller/processor circuitry configured for, in response to the user input computing a charge injection metric value as a function of a physical electrode parameter and an electrical source parameter for a first set of the electrodes, wherein the electrode set comprises at least two electrodes, comparing the computed charge injection metric value to a safety threshold value, and performing a corrective action based on the comparison.

Abstract: A system and method for selecting leadwire stimulation parameters includes a processor iteratively performing, for each of a plurality of values for a particular stimulation parameter, each value corresponding to a respective current field: (a) shifting the current field longitudinally and/or rotationally to a respective plurality of locations about the leadwire; and (b) for each of the respective plurality of locations, obtaining clinical effect information regarding a respective stimulation of the patient tissue produced by the respective current field at the respective location; and displaying a graph plotting the clinical effect information against values for the particular stimulation parameter and locations about the leadwire, and/or based on the obtained clinical effect information, identifying an optimal combination of a selected value for the particular stimulation parameter and selected location about the leadwire at which to perform a stimulation using the selected value.

Abstract: An example of a system may include a processor and a memory device comprising instructions, which when executed by the processor, cause the processor to: access a patient metric of a subject; use the patient metric as an input to a machine learning algorithm, the machine learning algorithm to search a plurality of neuromodulation parameter sets and to identify a candidate neuromodulation parameter set of the plurality of neuromodulation parameter sets, the candidate neuromodulation parameter set designed to produce a non-regular waveform that varies over a time domain and a space domain; and program a neuromodulator using the candidate neuromodulation parameter set to stimulate the subject.

Abstract: An example of a neurostimulation system may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to program a stimulation device for delivering the neurostimulation according to a stimulation program specifying a present stimulation field set including stimulation field(s) each defined by a set of active electrodes selected from a plurality of electrodes. The stimulation control circuit may be configured to determine the stimulation program and may include field programming circuitry that may be configured to set the present stimulation field set to an initial stimulation field set specifying stimulation fields allowing for the delivery of the neurostimulation to produce an intended effect and to identify an optimal stimulation field set that satisfies one or more optimization criteria by removing stimulation field(s) from the initial stimulation field set.

Abstract: Methods and systems for testing and treating spinal cord stimulation (SCS) patients are disclosed. Patients are eventually treated with sub-perception (paresthesia free) therapy. However, supra-perception stimulation is used during “sweet spot searching” during which active electrodes are selected for the patient. This allows sweet spot searching to occur much more quickly and without the need to wash in the various electrode combinations that are tried. After selecting electrodes using supra-perception therapy, therapy is titrated to sub-perception levels using the selected electrodes. Such sub-perception therapy has been investigated using pulses at or below 10 kHz, and it has been determined that a statistically significant correlation exists between pulse width (PW) and frequency (F) in this frequency range at which SCS patients experience significant reduction in symptoms such as back pain.

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 optical stimulation system includes a light source; an optical lead coupled, or coupleable, to the light source; at least one of a calibration table or a calibration formula, generated by a calibration procedure specifically using the light source and the optical lead of the optical stimulation system; and a control unit coupled, or coupleable, to the light source. The control module includes a memory to store the at least one of the calibration table or the calibration formula, and a processor coupled to the memory and configured for receiving a target light output level, using the at least one of the calibration table or the calibration formula to determine at least one operational parameter for generating the target light output level, and directing the light source, using the at least one operational parameter, to generate light at the target light output level.

Abstract: A neuromodulation targeting system includes a GUI that facilitates selection of one or more neuromodulation target regions. The GUI provides an interactive display representing anatomy of a patient with user-selectable portions corresponding to a plurality of predefined anatomical regions associated with distinct localized clinical effects of neuromodulation. The system further includes a targeting selector engine that is responsive to user selection of a first portion of the interactive display by configuring delivery of neuromodulation therapy to a first target region to produce a first localized clinical effect in the patient at a location corresponding to the first portion of the display, upon administration of the neuromodulation therapy to the patient.

Abstract: An optical stimulation system includes a light source configured to produce light for optical stimulation; a light monitor; an optical lead coupled, or coupleable, to the light source and the light monitor; and a control module coupled, or coupleable, to the light source and the light monitor. The control module includes a memory, and a processor configured for automatically initiating a verification or measurement of a light output value; receiving, from the light monitor, a measurement of light generated by the light source; and when the measurement deviates from an expected light output value by more than a threshold amount, performing at least one of the following: sending a warning; or taking a corrective action.

Abstract: An optical stimulation system includes a light source configured to produce light for optical stimulation; a light monitor; an optical lead coupled, or coupleable, to the light source and the light monitor; and a control module coupled, or coupleable, to the light source and the light monitor. The control module includes a memory, and a processor coupled to the memory and configured for receiving a request for verification or measurement of a light output value; in response to the request, receiving, from the light monitor, a measurement of light generated by the light source; and, based on the measurement, reporting a response to the request.