A method for assessing treatment of a subject who has overactive bladder (OAB) includes using an implant to stimulate a tibial nerve of the subject according to a stimulation protocol. An electronic processor is used to receive, from one or more sensors, data indicative of activity of the subject over a time period extending over at least one week. Based on the data, a characteristic of a response of the subject to the stimulation is assessed. Other embodiments are also described.

The present disclosure provides systems and methods for providing neurostimulation therapy using multi-dimensional patient features. The multi-dimensional patient features may include features in respective frequency bands for selected cortical sites from EEG localization data. Additionally or alternatively, the multi-dimensional patient features may include features from patient physiological data or other patient activity data. The multi-dimensional feature data may be compared against AI/ML models of patient and/or healthy population members. Closed-loop therapy adjustments may be applied to a respective patient’s neurostimulation therapy using the multi-dimensional patient feature analysis.

A computer brain interface (CBI) device of an individual is self-calibrated. A neurostimulation test signal is generated based on a selected set of test signal parameters. The neurostimulation signal is applied to the afferent sensory nerve fibers to elicit a bioelectric response via a neurostimulation interface operably connected to or integrated with the CBI device. The neurostimulation interface senses the bioelectric responses of the stimulated afferent sensory nerve fibers. The CBI devices determines, based on the sensed bioelectric responses, whether an excitation behavior of the stimulated afferent sensory nerve fibers with respect to the neurostimulation interface has changed. When the excitation behavior has changed, a set of recalibrated neurostimulation signal parameters is determined based on the sensed bioelectric responses. The CBI device is operated using the recalibrated neurostimulation signal parameters to communicate information to the individual via neurostimulation of the afferent sensory nerve fibers.

In rehabilitation, a stimulation pattern when applied to a body part by a neuromuscular electrical stimulation (NMES) device is effective to cause the body part to perform an intended action. The applying includes increasing a stimulation level at which the stimulation pattern is applied over time and, during the applying, acquiring video of the body part. The body part is monitored during the applying by analysis of the video, and the applying is automatically stopped in response to the monitoring indicating the body part has performed the intended action. The stimulation pattern may be defined as one or more subsets of electrodes of the NMES device and an electrode group stimulation level for each respective subset of electrodes, and the increasing of the stimulation level comprises increasing a scaling factor applied to the electrode group stimulation levels over time.

A patient external controller is provided for controlling sub-perception stimulation provided by a patients implantable stimulator device having an electrode array. Control circuitry in the controller renders a graphical user interface (GUI), including a location at which the sub-perception stimulation is provided within the electrode array, and a pre-defined region in which the location can be moved. The pre-defined region may be constrained to less than the entire electrode array. The control circuitry receives one or more first inputs to move the location of the sub-perception stimulation within the region and to program the stimulator to move the sub-perception stimulation to the moved location in the electrode array. The control circuitry can enable adjustment of an amplitude of the sub-perception stimulation to a value that is less than or equal to a perception threshold. Once moved, the sub-perception stimulation an be stored as a second stimulation program.

The present disclosure provides systems and methods for providing neurostimulation therapy according to patient features. The patient features may be analyzed to develop a patient model between physiological and/or patient reported features and optimal settings for a neurostimulation therapy using machine learning operations. The model is used to control ongoing neurostimulation therapy for the patient.

Systems and methods for providing a trial neurostimulation to a patient for assesssing suitability of a permanently implanted neurostimulation are provided herein. In one aspect, a trial neurostimulation system includes an EPG patch adhered to a skin surface of a patient and connected to a lead extending through a percutaneous incision to a target tissue location. The EPG may be a modified version of the IPG used in the permanent system, the EPG may be smaller and/or lighter than the corresponding IPG device. The EPG and a lead extension may be sealed to allow improved patient mobility and reduced risk of infection. The EPG may be compatible with wireless systems used to control and monitor the IPG such that operation and control of the EPG is substantially the same in each system to allow seemless conversion to the permanently implanted system.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to treat mood disorders in a patient using a compact implantable neurostimulator and corresponding lead(s) that are shaped, sized and configured to be implanted beneath a patient's skin in the head or neck, and to stimulate one or more target cranial nerves. The one or more medical electrical leads comprising electrode(s) are positioned adjacent to, in contact with, or in operative positional relationship to, the one or more target cranial nerves of the patient. In some embodiments, electrical stimulation is provided to the one or more target cranial nerve(s) of the patient for periods of time ranging between 30 and 60 minutes, once or twice per day. In some embodiments, power is provided to the implantable neurostimulator transcutaneously by inductive, wireless, RF, acoustic, microwave, or other suitable non-invasive means.

A method of providing electrical stimulation therapy to a patient according to one embodiment includes generating an un-tuned electrical noise signal by at least one noise generator, partitioning the un-tuned electrical noise signal into a plurality of discrete frequency bands having corresponding bandwidths, delivering the un-tuned electrical noise signal through one or more electrodes to the patient to target the patient's central or peripheral nervous system, adjusting, for each of a plurality of selected frequency bands, an amplitude of the voltage or current of the un-tuned electrical noise signal within a corresponding frequency band to generate an adjusted electrical stimulation signal based on feedback received from the patient, wherein the adjusted electrical stimulation signal includes a plurality of local maxima and a plurality of local minima, and delivering the adjusted electrical stimulation signal through the electrodes to provide electrical stimulation therapy to the patient.

An implantable medical device (IMD) configured to provide stimulation therapy using an instruction set architecture (ISA) includes a main processor operating at a first frequency and a secondary processor operating at a second frequency lower than the first frequency. Example ISA may comprise assembly-language-like instructions that may be executed by the secondary processor for configuring one or more stimulation engines (SEs) to cause stimulation of select electrode sets of a lead system based on one or more pulse definitions and one or more timing definitions corresponding to a therapy program selection effectuated by a user at an external device.