In some embodiments, an electrical probing stimulation pattern is delivered to the brain of a subject. A response to the electrical probing is analyzed, and used to determine a type of predicted seizure. The type of predicted seizure may be used to determine a treatment electrical stimulation pattern that may be administered to prevent onset of the predicted seizure. In some embodiments, a predicted seizure metric is calculated, which, in some implementations, acts as an indicator of “distance” (e.g., probability distance) to the predicted seizure. Furthermore, a subject model may be trained to assist with determining the type of predicted seizure, and determining the treatment electrical stimulation pattern.

A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

A neurostimulation system provides for capture verification and stimulation intensity adjustment to ensure effectiveness of vagus nerve stimulation in modulating one or more target functions in a patient. In various embodiments, stimulation is applied to the vagus nerve, and evoked responses are detected to verify that the stimulation captures the vagus nerve and to adjust one or more stimulation parameters that control the stimulation intensity.

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 including user indicated activities inputted from an icon driven user interface of an external patient controller device.

An active implantable stimulating device (10) includes: (a) a tissue coupling unit (40) for being implanted directly onto a vagus nerve (Vn) of a patient, (b) an EEG-unit (70) for measuring an electroencephalogram of the patient, (c) an encapsulation unit (50) configured for being subcutaneously implanted, (d) an energy transfer lead (30) for transferring pulses of electrical and/or optical energy, (e) a signal transfer lead (60) for transferring signals between the EEG unit and the encapsulation unit. EEG electrodes (70a-70d) monitor the electric activity of the brain of a patient. The EEG signal is conveyed to the electronic circuit (53) in the form of EEG conditioned data. The electronic circuit analyses the EEG conditioned data to yield analysis results. The electronic circuit takes a decision to trigger energy pulses to stimulate the vagus nerve (VN).

A printed tattoo electrode includes an interconnection unit with a stiff magnetic contact component including one or more attachment magnets configured to magnetically attach the electrode sensor to an external device. A stiff electrical contact component is electrically connected to output interface contacts for coupling electrical signals to the external device. And at least one bridge component is configured to mechanically connect the electrical contact component and the magnetic contact component to the output interface contacts. The bridge component is characterized by a connecting length with gradually varying stiffness so as to distribute mechanical stresses between the electrode sensor and the external device and avoid motion artifacts in the electrical signals.

A deep brain stimulation transparent electrode array and a neural signal detection method using the same are proposed. The deep brain stimulation transparent electrode array includes a biocompatible dielectric substrate, a plurality of electrode sites arranged on one side of the substrate, a plurality of electrically conductive contacts arranged on the other side of the substrate, and an interconnector extended from each electrode site so as to be connected to each contact. The deep brain stimulation transparent electrode array is capable of conducting deep brain electrical stimulation and brain wave detection while minimizing image distortion in magnetic resonance imaging, and accuracy of the deep brain electrical stimulation and the brain wave detection may be increased by enhancing ability to carry electric current and minimizing the image distortion in the magnetic resonance imaging.

A device for electrically stimulating one or more anatomical target sites in a patient and for use in the treatment of a plurality of biological conditions of the patient. The device has a pulse generator providing electrical stimulation to the anatomical target sites; a power source for powering the pulse generator; stimulator electrodes connected to the pulse generator for stimulating the anatomical target sites; one or more optional sensing electrodes for monitoring physiological parameters with reference to the anatomical target sites; and a microprocessor programmed to vary a plurality of therapy protocol parameters governing the electrical stimulation to thereby modify operational life parameters of the power source.

A method of evaluating an implantation of a lead is disclosed. Via a graphical user interface of an electronic device, a visual representation of a sacrum of the patient and a lead that is implanted in the sacrum is displayed. The lead includes a plurality of electrode contacts. An evaluation is made as to how well the lead has been implanted in the sacrum based on the visual representation of the sacrum and the lead. The evaluating comprises: determining whether the lead is inserted in a predetermined region of the sacrum, determining how far a predetermined one of the electrode contacts is located from an edge of the sacrum, and determining a degree of curvature of the lead.