Techniques for configuring electrical stimulation therapy parameters is described. Based on user input, processing circuitry may keep a first therapy parameter substantially constant and increase a value of a second therapy parameter until increasing the second therapy parameter further causes the second therapy parameter to be bigger than threshold value. The processing circuitry may adjust the second therapy parameter value and adjust the first therapy parameter value. Prior to adjustment, the first and second therapy parameters set a first intensity, and after adjustment, the first and second therapy parameters set a second intensity that is greater than or equal to the first intensity. The processing circuitry causes delivery of therapy at the second intensity.

One aspect of the present disclosure relates to a method for controlling levels of perceived intensity of a sensory stimulus. The method includes configuring a stimulation signal with an activation charge rate (ACR) based on a predefined level of intensity by a subject during an action. The ACR is based on a strength of pulses in the stimulation signal parameter and a frequency of pulses in the stimulation signal parameter. The stimulation signal can be applied to neural tissue of a subject during the action. Based on the stimulation signal, the subject can be induced to perceive the predefined level of intensity during the action.

A neuromodulation system and method with feedback optimized electrical field generation for stimulating target tissue of a patient to treat neurological and non-neurological conditions. The system generally includes implantable electrodes, implantable sensors, an implantable or external electrical signal generator, and an implantable or external controller. The controller controls the electrical signal generator to generate electrical noise stimulation signals that are delivered to the target tissue via the electrodes and that produce an optimized electric field having maximized voltage with low current density. The sensors produce temperature and impedance data for the target tissue and the controller automatically responds to values of the sensor data that indicate potential damage to the target tissue to reduce the strength of the electric field.

The disclosures relates to systems and methods for automatically determining a patient-specific set of stimulation parameters using optimization for exploring and/or programming a neurostimulation device, e.g., deep brain stimulation (DBS). In one implementation, the method may include receiving patient data and set of stimulation parameters associated stimulation delivered to a patient by a neurostimulation device. The method may include determining one or more objective metrics using the patient data for each set of stimulation parameters. The one or more objective metrics may be a quantitative value that represents a rating or score of tremor severity and/or ide effect severity associated. The method may further include generating a patient specific response model using the one or more objective metrics and the associated set of stimulation parameters. The method may also include applying an optimization algorithm to the generated response model to determine a candidate set of one or more stimulation parameters.

Disclosed is a system for stimulation of a subject. The stimulation may be to provide therapy to treat the subject. Stimulation may be of selected muscle groups and/or portions.

Apparatus and methods for managing pain uses a single composite modulation/stimulation signal with variable characteristics to achieve the same results as separate varying electromagnetic signals, including spinal cord stimulation or peripheral nerve stimulation.

Methods and systems for facilitating the determining and setting of stimulation parameters for programming an electrical stimulation system are disclosed. The disclosed systems and methods use algorithms to identify patient-specific metrics to use as feedback variables for optimizing stimulation parameters for a patient. The patient-specific metric(s) are determined by ranking a plurality of clinical indicators for the patient with and without the presence of a medical intervention to determine which clinical indicators respond most strongly to the medical intervention. The clinical indicators that respond most strongly can be used as the patient-specific metric for optimizing stimulation, or a composite patient-specific metric may be derived as a mathematical combination of a plurality of clinical indicators that respond well to the intervention.

A method for monitoring stimulation drift includes directing electrical stimulation through electrodes of a lead, wherein a selection of one or more electrodes and a stimulation amplitude for each of the one or more selected electrodes determines a stimulation position, wherein user programming of an implantable control module initially selects a primary stimulation position; modulating, over a time period of at least one day, the stimulation position around the primary stimulation position and delivering electrical stimulation at the modulated stimulation positions; for at least a plurality of the modulated stimulation positions and the primary stimulation position, receiving or observing a measure of stimulation effect; monitoring the measures of stimulation effect; and when the monitoring indicates a stimulation drift based on at least one drift criterion, performing at least one of the following: i) altering the primary stimulation position, or ii) generating a message.

A neuromodulation system including at least one input module for inputting a planned neuromodulation event or a series of neuromodulation events and at least one analyzing module for analyzing a neuromodulation event or a series of neuromodulation events.

The analyzing module and the input module may be connected such that the input module is configured to forward the planned neuromodulation event or a series of neuromodulation events to the analyzing module and the analyzing module is configured to analyze the planned neuromodulation event or a series of neuromodulation events regarding one or more possible neuromodulation conflict(s).

The present disclosure is directed to a system and method for selectively and reversibly modulating targeted neural and non-neural tissue of a nervous system for the treatment of pain. An electrical stimulation is delivered to the treatment site that selectively and reversibly modulates the targeted neural- and non-neural tissue of the nervous structure, inhibiting pain while preserving other sensory and motor function, and proprioception.