An apparatus includes an implant that includes circuitry and an elongate housing having a first half and a second half. A paresthesia-inducing electrode is disposed on the first half, and a blocking electrode is disposed on the second half. The circuitry has a first mode in which the circuitry simultaneously drives the paresthesia-inducing electrode to apply a paresthesia-inducing current having a frequency of 2-400 Hz, and the blocking electrode to apply a blocking current having a frequency of 1-20 kHz, and a second mode in which the circuitry drives the blocking electrode to apply the blocking current, but does not drive the paresthesia-inducing electrode to apply the paresthesia-inducing current. The implant is injectable into a subject along a longitudinal axis of the implant. Other embodiments are also described.

A method for assessing a patient's suitability for receiving a vagus nerve stimulation therapy includes receiving a criterion regarding the patient's suitability for receiving a vagus nerve stimulation therapy; controlling a stimulation device to provide stimulation to a vagus nerve of the patient; receiving, from a sensor, response data indicative of a physiological response of the patient to the stimulation of the vagus nerve; and determining the patient's suitability for receiving the vagus nerve stimulation therapy based on the criterion and the physiological response of the patient to the stimulation.

This application is generally related to systems and methods for providing a medical therapy to a patient by tracking patient activity and adjusting medical therapy based on occurrence of different types of activities performed by the patient while automatically balancing stimulation program duration.

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for detecting an effortful mental state providing real-time deep brain stimulation to enhance performance of effortful mental tasks are provided. In some embodiments, system for detecting and facilitating effortful mental states is provided, the system comprising: monitoring sensors to capture neural activity from a subject's brain; an implanted stimulator to provide electrical stimulation to the subject's brain; a hardware processor programmed to: correlate activity in a first and second region of the subject brain during task performance; correlate activity in the first and second regions during task non performance; train a support vector machine (SVM) using the correlations as first and second class examples; and provide stimulation to augment brain function when the SVM indicates, based on activity in the first and second regions, the subject is in the mental state.

A lead body is operable to be implanted proximate a target nerve tissue of a patient. A sensing electrode is configured to sense biopotentials over a first partial circumference of the lead body. A stimulation electrode is configured to deliver stimulation energy over a second partial circumference of the lead body. A signal generator is electrically coupled to the stimulation electrode and a sensing circuit is coupled to the sensing electrode. A processor is operable to apply a stimulation signal to the stimulation electrode via the signal generator and, via the sensing circuit, sense an evoked response to the stimulation signal that propagates along a neural pathway.

Methods and systems for programming stimulation parameters for an implantable medical device for neuromodulation, such as spinal cord stimulation (SCS) are disclosed. The stimulation parameters define user-configured waveforms having at least a first phase having a first polarity and a second phase having a second polarity, wherein the first and second phases are separated by an interphase interval (IPI). By delivering user-configured waveforms with different IPIs, stimulation geometry, and other waveform settings, therapeutic asynchronous activation of dorsal column fibers can be obtained.

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.

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 neutral- and non-neural tissue of the nervous structure, inhibiting the perception of pain while preserving other sensory and motor function, and proprioception.

This document discusses a medical system for coupling to one or more implantable electrodes. The medical system includes a sensing circuit, memory, and processing circuitry. The sensing circuit is configured to sense one or more neural signal representative of neural activity of a subject when connected to an implantable electrode of the one or more implantable electrodes, and the memory is to store a reference signal that is representative of a neural response associated with a state of arousal at or near an anatomical location of the implantable electrode. The processing circuitry is configured to compare the one or more sensed neural signals to the reference signal, and to determine a depth of anesthesia of the subject according to the comparison of the one or more sensed neural signals and the reference signal.

An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.