Systems and methods for optimizing neuromodulation field design for pain therapy are discussed. An exemplary neuromodulation system includes an electrostimulator to stimulate target tissue to induce paresthesia, a data receiver to receive pain data including pain sites experiencing pain, and to receive patient feedback on the induced paresthesia including paresthesia sites experiencing paresthesia. The neuromodulation system includes a processor circuit configured to generate a spatial correspondence indication between the pain sites and the paresthesia sites over one or more dermatomes, determine an anodic weight and a cathodic weight for each of multiple electrode locations using the spatial correspondence indication, and generate a stimulation field definition for neuromodulation pain therapy.

A system for stimulating phrenic nerves to provide smooth breathing patterns is provided. More specifically, by identifying contraction threshold voltages for muscles associated with each of the left and right portions of a patient's diaphragm, a phrenic nerve pacing signal customized for each phrenic nerve may be provided to a patient. More specifically, a voltage of a pacing voltage provided to a first phrenic nerve may be less than the contraction threshold while a voltage of a pacing voltage provided to a second phrenic nerve may be greater than the contraction threshold.

An implantable neurostimulation system including an implantable neurostimulation device having one or more electrodes configured to deliver electrical energy to a patient according to a prescribed dosing pattern for the treatment of one or more physiological conditions and an external programmer configured to wirelessly communicate with the implantable neurostimulation device, the external programmer including a user interface enabling a clinician to define an irregular dosing pattern, such that a dose pattern during each day of a calendar month is individually programmable.

A neuromodulation system comprises a plurality of electrical terminals configured for being respectively coupled to a plurality of electrodes, a user interface configured for receiving input from a user that selects one of a plurality of different shapes of a modulating signal and/or selects one of a plurality of different electrical pulse parameters of an electrical pulse train, neuromodulation output circuitry configured for outputting an electrical pulse train to the plurality of electrical terminals, and pulse train modulation circuitry configured for modulating the electrical pulse train in accordance with the selected shape of the modulating signal and/or selected electrical pulse parameter of the electrical pulse train.

A device may receive, from one or more electrodes, information identifying brain activity for a first time period. The device may predict, based on the information identifying the brain activity for the first time period, predicted brain activity for a second time period that is to occur after the first time period. The device may determine, based on the predicted brain activity for the second time period, a brain stimulus for the second time period, wherein the brain stimulus is associated with a frequency and a phase determined based on the predicted brain activity for the second time period. The device may cause the brain stimulus to be applied in accordance with the frequency and the phase during the second time period.

In some variations provided herein, a system for deep brain stimulation includes an implantable device that acquire and store neural activity signal records and apply electrical stimulation. The system further includes a personal controller device that establishes a first wireless connection to the implantable device. The personal controller device transmits power to the implantable device, and the implantable device transmits neural activity signal records to the personal controller device over the first wireless connection. The system further includes a clinician programmer device that receive the neural activity signal records from the implantable device by establishing a second wireless connection based on activation of the first wireless connection. The clinician programmer device sets one or more stimulation parameters based on the neural activity signal records.

A neuromodulation system comprises a plurality of electrical terminals configured for being respectively coupled to a plurality of electrodes, a user interface configured for receiving input from a user that selects one of a plurality of different shapes of a modulating signal and/or selects one of a plurality of different electrical pulse parameters of an electrical pulse train, neuromodulation output circuitry configured for outputting an electrical pulse train to the plurality of electrical terminals, and pulse train modulation circuitry configured for modulating the electrical pulse train in accordance with the selected shape of the modulating signal and/or selected electrical pulse parameter of the electrical pulse train.

Implantable medical devices (IMD) such as those used in Deep Brain Stimulation application are commonly replaced when the device's useful life expires. At the time of replacement, the electrodes that were connected to the initial IMD are typically reused with the replacement IMD. It is desirable for the replacement IMD to utilize the stimulation parameters that were being utilized to provide stimulation in the initial IMD, but it is important that the electrodes be connected to the replacement IMD in a similar manner as they were connected to the initial IMD if stimulation parameters are reused. A connected electrode profile that includes measurements of electrical parameters associated with the electrodes can be generated in the initial IMD and the replacement IMD, and the profiles can be compared to determine whether the electrodes are connected in a similar manner in the replacement IMD as they were in the initial IMD.

Methods and systems for providing neuromodulation to a patient are disclosed. The disclosed methods and systems use sensed neural responses to construct and optimize models of the neural elements recruited during the neuromodulation. The models are used to estimate neural recruitment associated with a therapeutic effect and/or with side-effects to stimulation. The models can be used to adjust neuromodulation in a closed-loop fashion.

Presented herein are binaural hearing prosthesis systems that are configured to provide a recipient with pitch cues at both ears, while preserving/retaining binaural timing cues.