A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

Systems, devices, methods, and techniques are described for using evoked compound action potential (ECAP) signals to determine an implant location for a lead. An example method includes receiving first information representative of a first evoked compound action potential (ECAP) signal sensed in response to a first control stimulus delivered to a first location adjacent to a spinal cord of a patient. The method also includes receiving, second information representative of a second ECAP signal in response to a second control stimulus delivered to a second location adjacent to the spinal cord of the patient. Additionally, the method includes outputting a first indication of the first information representative of the first ECAP signal and a second indication of the second information representative of the second ECAP signal.

This document discusses a computer-implemented method of calibration of an implantable neurostimulation device. The method includes sensing one or more symptoms of a neurological condition of a subject using a sensor external to the neurostimulation device; delivering neurostimulation to the subject using the neurostimulation device and adjusting neurostimulation parameters based on the sensed symptom; sensing one or more neural response signals resulting from the neurostimulation using a sensor of the neurostimulation device; correlating the sensed symptom with the one or more sensed neural response signals; determining a target neural response using the correlating; and recurrently adjusting the neurostimulation parameters according to a comparison of subsequently sensed neural response signals to the target neural response signal.

This document discusses a computer-implemented method of calibration of an implantable neurostimulation device. The method includes sensing one or more symptoms of a neurological condition of a subject using a sensor external to the neurostimulation device; delivering neurostimulation to the subject using the neurostimulation device and adjusting neurostimulation parameters based on the sensed symptom; sensing one or more neural response signals resulting from the neurostimulation using a sensor of the neurostimulation device; correlating the sensed symptom with the one or more sensed neural response signals; determining a target neural response using the correlating; and recurrently adjusting the neurostimulation parameters according to a comparison of subsequently sensed neural response signals to the target neural response signal.

The disclosure describes devices and methods for providing transdermal electrical stimulation therapy to a subject including positioning a stimulator electrode over a glabrous skin surface overlying a palm of the subject and delivering electrical stimulation via a pulse generator transdermally through the glabrous skin surface and to a target nerve or tissue within the hand to stimulate the target nerve or tissue within the hand so that pain felt by the subject is mitigated. The pulses generated during the electrical stimulation therapy may include pulses of two different magnitudes.

A system for modeling neurological activity includes a computer having one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices. The program instructions are configured to receive electroencephalogram (“EEG”) data generated by an EEG device coupled to a plurality of electrodes disposed on a brain, the EEG data comprising a plurality of waveforms representative of electrical activity detected by the plurality of electrodes over a period of time; generate a graphical brain model representative of the brain; to convert the EEG data into a graphical EEG model representative of electrical activity; integrate the EEG model with the brain model, thereby enabling visualization of and interaction with the EEG model within the context of the brain model; and communicate the integrated EEG and brain model to a display.

A system for modeling neurological activity includes a computer having one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices. The program instructions are configured to receive electroencephalogram (“EEG”) data generated by an EEG device coupled to a plurality of electrodes disposed on a brain, the EEG data comprising a plurality of waveforms representative of electrical activity detected by the plurality of electrodes over a period of time; generate a graphical brain model representative of the brain; to convert the EEG data into a graphical EEG model representative of electrical activity; integrate the EEG model with the brain model, thereby enabling visualization of and interaction with the EEG model within the context of the brain model; and communicate the integrated EEG and brain model to a display.

The present invention provides an implantable neuromodulation system for delivering an electrical signal to a nerve to stimulate, inhibit or block conduction of action potentials in the nerve. The system comprises a neural interface device comprising first and second electrodes; a signal generator and a first closed-loop controller configured to generate a control signal based a property of the signal based on a measured voltage across the first and second electrodes, and cause the signal generator to adjust the electrical signal to modify the property of the signal.

A system comprises a neuromonitoring system configured to generate nerve data regarding a state of a nerve of a patient during a surgical procedure on the patient. The system includes a robotic system configured to receive or generate, for the surgical procedure, location data that identifies a location of the nerve of the patient. The robotic system may cause the neuromonitoring system to be in either an active state or an inactive state based on the location data, where the active state is a state in which the neuromonitoring system provides the nerve data to the robotic system, while the inactive state is a state in which the neuromonitoring system does not provide the nerve data to the robotic system. The robotic system may further generate at least one control signal that implements one or more safeguards for the surgical procedure.