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.

A computer brain interface (CBI) device of an individual applies a burst sequence of stimulation pulses to 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 device derives, based on the sensed bioelectric responses, a neural excitability profile characterizing a non-linear, dynamic excitation behavior of the afferent sensory neurons corresponding to the applied sequence of stimulation pulses. At least one stimulation parameter of the current set of stimulation parameters is adjusted based on the derived excitability profile to obtain an updated set of stimulation parameters.

In one embodiment, the present disclosure is directed to a method for providing a neural stimulation therapy to treat chronic pain of a patient. The method comprises: recording, using a neural sensing system, neural activity of the patient at one or more sites within the nervous system of the patient related to the chronic pain of the patient, modifying a computational neural modeling system to model the sensed neural activity of the patient; computing a respective neural response of the patient for each of a plurality of different temporal stimulation patterns using the modified computational neural modeling system; selecting, based on the respective neural responses, one of the plurality of temporal stimulation patterns; and programming an implantable stimulation system to provide the selected one of the plurality of temporal stimulation patterns to the patient to treat the chronic pain of the patient.

Methods and apparatuses for stimulation of the vagus nerve to treat inflammation including adjusting the stimulation based on one or more metric sensitive to patient response. The one or more metrics may include heart rate variability, level of T regulatory cells, particularly memory T regulatory cells, temperature, etc. Stimulation may be provided through an implantable microstimulator.

An electrode apparatus for nerve denervation or modulation in body includes a main body including a shaft; an electrode unit formed to be drawn out from one end of the shaft and configured to denervate or modulate at least part of nerves on a tube in the body; and an electrode guide coupled to the electrode unit and deformed into a wound state to bring the electrode unit into contact with the tube in the body. The electrode guide includes a plurality of joint units disposed to enclose the circumference of the tube with the electrode unit interposed therebetween in the wound state.

An auricular peripheral nerve field stimulator includes at least one therapy electrode configured for percutaneous insertion into an auricle of a human ear near at least one neurovascular bundle, and an electrical stimulation device electrically coupled to the at least one therapy electrode, the electrical stimulation device programmed to generate and deliver electrical stimulation signals, with defined stimulation parameters, to the percutaneously inserted at least one therapy electrode to stimulate at least one auricular peripheral nerve field within the auricle, the defined stimulation parameters including a defined signal amplitude, a defined pulse frequency, a defined pulse width, a defined duty cycle and a defined stimulation signal duration.

A method of neurostimulation includes applying a probe signal to an electrode implanted in or near a target neural structure of the brain. The method further includes detecting a first response from the target neural structure evoked by the probe signal and determining a first time period between application of the probe signal and a first temporal feature of the response. Further, the method includes generating a therapeutic signal comprising a plurality of pulses, at least two of the plurality of pulses separated by the first time period, and applying the therapeutic signal to the electrode or another electrode implanted in or near the target neural structure.

Electrical stimulation of neural activity in the neural innervation of the spleen that is associated with neurovascular bundles provides a useful way to treat acute medical conditions, such as trauma, hemorrhaging and shock.

This disclosure is directed to devices, systems, and techniques for delivering electrical stimulation. In some examples, a system includes processing circuitry configured to: receive information representative of a bioelectric brain signal recorded from a brain of a patient; and determine, based on the information, at least one pathological frequency of the bioelectric brain signal. Additionally, the processing circuitry is configured to select, based on the at least one pathological frequency, a sequence of pulse bursts at a pulse burst frequency, the sequence of pulse bursts at least partially defining electrical stimulation deliverable to an area of a brain of a patient, wherein adjacent pulse bursts within the sequence comprise different intra-burst pulse frequencies; and control a medical device to deliver the electrical stimulation comprising the sequence of pulse bursts to the area of the brain of the patient.

An example method includes delivering one or more electrical stimulation signals to a patient, sensing a composite stimulation-evoked signal comprising a composite of signals generated by one or more signal sources in response to the one or more electrical stimulation signals, and controlling delivery of electrical stimulation therapy to the patient based on the composite stimulation-evoked signal.