Systems, methods, and devices for automatic generation of a stimulation therapy that mimics electrographic activity in the brain at natural seizure termination define a stimulation therapy to be generated by an implanted component of a medical device system and delivered to a subject through identifying data characterizing a patient's seizures, especially at termination. A machine learning model identifies the seizures or seizure types from which to establish a canonical seizure or seizure type, and an algorithm translates the canonical seizure or seizure type into data that can be used to characterize a stimulation therapy. The systems, methods, and devices, include those configured to deliver the stimulation therapy that emulates the canonical seizure or seizure type when the seizure is detected, with the aim of terminating the seizure sooner than it would terminate without intervention.

Conventional devices deliver a degree of electrical charge into biological tissues; —to satisfy regulatory and safety concerns, measures are taken to maintain a zero-charge residual at the stimulation site.

Disclosed herein is a method of controlling electrical energy provided by a stimulation device to one or stimulation electrodes comprised in the device, the device including: a first stimulation electrode; a pulse energy controller for transferring electrical energy as one or more electrical stimulation pulses to the first stimulation electrode; the pulse energy controller further including two or more stimulation energy supplies for each supplying electrical energy substantially concurrently to the first stimulation electrode as a first pulse; and each supplying electrical energy separately to the first stimulation electrode as a second pulse.

A simpler, more accurate and less-expensive control of stimulation may be provided by considering each energy supply as an energy building block, which may be selected as required.

Systems and methods for using sensory threshold and/or adaptation for neurological therapy screening and/or parameter selection. A representative method for establishing a treatment regimen for a patient includes: in response to a first indication of a characteristic of the patient's sensory response to an electrical stimulus, providing a second indication indicating suitability of an electrical signal for delivery to the patient to address a patient condition, wherein the electrical signal has a frequency in a frequency range from 1.2 kHz to 100 kHz.

A method of treating a patient, comprising: sensing a biological parameter indicative of respiration; analyzing the biological parameter to identify a respiratory cycle; identifying an inspiratory phase of the respiratory cycle; and delivering stimulation to a hypoglossal nerve of the patient, wherein stimulation is delivered if a duration of the inspiratory phase of the respiratory cycle is greater than a predetermined portion of a duration of the entire respiratory cycle.

Systems and methods for stimulation of neurological tissue generate stimulation trains with temporal patterns of stimulation, in which the interval between electrical pulses (the inter-pulse intervals) changes or varies over time. Compared to conventional continuous, high rate pulse trains having regular (i.e., constant) inter-pulse intervals, the non-regular (i.e., not constant) pulse patterns or trains that embody features of the invention provide a lower average frequency.

A system and method for determining parameters of stimulation electrical signals for vagus nerve stimulation is discussed. Initial parameters of the signals are selected to provide reliable response to stimulation in physiological measurements of a subject. One or more physiological and neurological indices are determined based on a vagus nerve response model. For a selected vagus nerve activation, the electrical parameters of the signals are varied while monitoring changes in physiological parameters and values of the indices. The electrical parameters are varied until desired response in the physiological measurements and the values of the indices is observed. The electrical parameters are then stored as preferred parameters and can be used to activate the selected vagus nerve of the subject.

In Spinal Cord Stimulation (SCS) systems having sensing capability, conventional wisdom seeks to minimize or avoid sensing of stimulation artifacts caused by the stimulation. Despite this, the present disclosure recognizes that stimulation artifacts in and of itself can include useful information relevant to operation of the SCS implant and/or the status of the patient. In particular, stimulation artifact features as sensed canbe used to determine a posture or activity of the patient, or more generally to adjust the stimulation program that the SCS implant is providing. Furthermore, sensing of stimulation artifact features can be as useful as, and possibly even more useful than, information gleaned from sensing neural responses to stimulation, such as Evoked Compound Action Potentials (ECAPs).

Methods and systems for providing electrical stimulation to a patient's spinal cord using electrode leads implanted in the patient's spinal column are described. Embodiments involve biphasic stimulation where during a first phase a first pole provides stimulation to a first location and during a second phase a second pole provides stimulation to a second location. The two phases may have the same or different amplitudes. The amplitudes of the two phases may be determined based on perception thresholds for stimulation at the two locations.

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.

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.