According to aspects disclosed herein, an infusion lead assembly may include a housing including a needle receptacle, a housing lumen, a pin receptacle, and a housing conductive trace; a connector including an connector needle, an internal lumen, a metal pin, and a connector conductive trace, and an infusion lead body including an infusion lumen, an exit port, an internal wire, and a distal electrode. The infusion lead assembly may form an electrical path to transmit electrical signals across the connector conductive trace, the metal pin, the housing conductive trace, the internal wire, and the distal electrode. The infusion lead assembly may form a fluid path to transmit fluid across the internal lumen, the connector needle, the infusion lumen, and the exit port.

A method for assisting and tracking a user with a neurological disorder includes receiving, from a user interface, a selection of a physical activity that the user wishes to perform. The method further includes sending a control signal to a neurostimulation device, the control signal including instructions for the neurostimulation device to implement a neurostimulation therapy regimen corresponding to the selected physical activity that the user wishes to perform. The method also includes receiving an activity feedback signal from at least one sensor, the activity feedback signal including information regarding performance of the selected physical activity when performed by the user. The method further includes sending a monitoring signal to a remotely located caregiver device, the monitoring signal including activity data derived from the information regarding performance of the selected physical activity.

In one aspect, an electronic device for continuous and simultaneous powering and data transfer is provided, the electronic device comprising: an inductive power receiver operable to generate a power signal from a sensed magnetic field, the power signal; an LC tank and diode pair electrically coupled to the power receiver and operable to obtain the power signal, the LC tank and diode pair cooperating to generate a corresponding clipped signal thereof; and an antenna comprising a high-pass filter, the antenna electrically coupled to the diode pair and operable to emit a pulse-train by high-pass filtering the clipped signal.

Techniques for providing therapy to a patient via electrical stimulation are described. The techniques include, for example, determining, relative to a start time of providing the electrical stimulation, one or more efficacy times that correspond to an efficacy indicator, determining, according to the efficacy times, efficacy data items for the patient, comparing the efficacy data items with the efficacy indicator, and generating, based on the comparison, a prediction of an expected response to the therapy manifesting in the patient at a prospective time.

Devices, systems and methods of neurostimulation for treating obstructive sleep apnea. The system is adapted to send an electrical signal from an implanted neurostimulator through a stimulation lead to a patient's nerve at an appropriate phase of the respiratory cycle based on input from a respiration sensing lead. External components are adapted for wireless communication with the neurostimulator. The neurostimulator is adapted to deliver therapeutic stimulation based on inputs.

Systems and methods are disclosed to permit a patient to use his external controller to move the location of stimulation in an implantable stimulator system. The external controller can be programmed with a steering algorithm, which prompts the patient to enter certain data regarding their symptoms (e.g., pain), such as pain scores and stimulation coverage. Such data is preferably entered for a plurality of different regions of the patient's body. The algorithm can compute for each body regions a targeting precision value (TP), and from these values determine a steering vector D that suggests a direction and/or a magnitude that stimulation can be moved in the electrode array to more precisely target the patient's pain. The patient may then move the location of the stimulation in accordance with the steering vector using their external controller. The algorithm can be repeated if necessary to again move the stimulation.

User-specific neurostimulation settings are efficiently determined and optimized based on an optimized set of population-based neurostimulation settings. The population data are clustered and a set of test settings for a new user are selected as settings that efficiently discriminate between the clusters. User preference of the test settings are used to map the user to a particular cluster of settings, which can be used to determine user-specific neurostimulation settings. The user-based settings can be iteratively updated and/or optimized using information from the population data, such as by using average preference score surfaces in the population data to identify and/or filter new test settings for the user.

An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.

Systems and methods are disclosed in which a time series analysis algorithm is used to analyze inputs such as adjustments a patient has made to the amplitude of stimulation in an implantable stimulator system. The algorithm uses these inputs to predict how the patient would likely adjust the amplitude in the future, i.e. to predict future amplitudes for the patient as a function of time. Preferably, the algorithm determines one or more of an amplitude level, at least one seasonal variation, or at least one trend when predicting the amplitude. This predicted amplitude can then be used to automatically adjust the amplitude of the stimulation provided by the patient's stimulator. The algorithm may only use previous amplitude adjustments to predict the amplitude, other time-varying inputs, or combinations of both.

A gastric electric stimulation (GES) system is disclosed which includes a processing system, and at least one of a left vagus nerve sensor (L/R Sensors) and a right vagus nerve sensor coupled to the processing system, the processing system is configured to receive a model which statistically correlates sensed compound nerve action potential (CNAP) parameters measured from at least one of left and right vagus nerves of subjects within a population to feedback surveys of the subjects corresponding to a plurality of gastric symptoms and symptom parameters, receive one or more gastric symptoms of a subject outside of the population (Subject.sub.out), determine CNAP parameters that correspond to the gastric symptoms with least severity (CNAP.sub.min), measure CNAP activity of the Subject.sub.out from the L/R sensors while modifying GES parameters for the Subject.sub.out, select the GES parameters that corresponds to the CNAP.sub.min (GES.sub.out), and output the GES.sub.out.