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.

An assistance method for assisting a person in grasping or otherwise manipulating an object includes receiving video of a hand of the person and of an object. An intent to grasp the object is identified based on proximity of the hand to the object in the video or as measured by a proximity sensor, or using gaze tracking, or based on measured neural activity of the person. The object and the hand in the video are analyzed to determine an object grasping action for grasping or otherwise manipulating the object. An actuator is controlled to cause the hand to perform the determined hand action for grasping or otherwise manipulating the object.

A medical device may receive sensor data from sensing sources, and determine confidence levels for sensor data received from each of the plurality of sensing sources. Each of the confidence levels of the sensor data from each of the sensing sources is a measure of accuracy of the sensor data received from respective sensing sources. The medical device may also determine one or more therapy parameter values based on the determined confidence levels, and cause delivery of therapy based on the determined one or more therapy parameter values.

An example of a neurostimulation system may include a programming control circuit, a sensing circuit, and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of neurostimulation according to stimulation waveform(s) and stimulation field(s). The sensing circuit may be configured to sense signals. The stimulation control circuit may be configured to determine the stimulation waveform(s) and the stimulation field(s) based on a lead configuration and may be configured to determine first and second electrodes of respective first and second leads, receive first and second signals sensed using the first and second electrodes, detect corresponding signal features from the first and second signals, determine a feature delay between the detected signal features, and determine a need for adjusting the lead configuration using the feature delay. The signal features are associated with a response of the patient to the neurostimulation.

A device system and method for wirelessly communicating through tissue is provided. The device system comprises an implanted device with an array of antennas aligned with a tandem device with an array of antennas outside of the body. The two devices wirelessly communicate in a bi-directional manner. The implanted device can act as a physiological sensor and stimulator, and the external device can act as a controller and relay. Such configurations allow for a range of uses within research and clinical settings.

An example system includes a memory; and processing circuitry configured to: cause an implantable stimulation device to deliver a plurality of doses of electrical stimulation to a patient; receive, for each respective dose of the plurality of doses, a respective electrical signal of a plurality of electrical signals; and determine, based on a variation of the plurality of electrical signals, whether the plurality of doses of electrical stimulation evoked neural potentials in the patient.

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.

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.