The present specification discloses devices and methodologies for the treatment of GERD. Individuals with GERD may be treated by implanting a stimulation device within the patient's lower esophageal sphincter and applying electrical stimulation to the patient's lower esophageal sphincter, in accordance with certain predefined protocols. The presently disclosed devices have a simplified design because they do not require sensing systems capable of sensing when a person is engaged in a wet swallow, have improved energy storage requirements, enable improved LES function while concurrently delivering additional health benefits, and enable improved LES function post stimulation termination.

An example of a system may include a processor, and a memory device comprising instructions, which when executed by the processor, cause the processor to access at least one of patient input, clinician input, or automatic input, use the patient input, clinician input, or automatic input in a search method, the search method designed to evaluate a plurality of candidate neuromodulation parameter sets to identify an optimal neuromodulation parameter set, and program a neuromodulator using the optimal neuromodulation parameter set to stimulate a patient.

Various embodiments of a system and method for the treatment of brain cancer using a subdurally-implanted alternating electric field generation apparatus are disclosed herein.

The present disclose generally relates to systems and methods for active titration of one or more cranial or peripheral nerve stimulators to treat obstructive sleep apnea. The active titration can be accomplished in an automated fashion by a closed-loop process. The closed-loop process can be executed by a computing device that includes a non-transitory memory storing instructions and a processor to execute the instructions to perform operations. The operations can include defining initial parameters for the one or more cranial or peripheral nerve stimulators for a patient; receiving sensor data from sensors associated with the patient based on a stimulation with the one or more cranial or peripheral stimulators programmed according to the initial parameters; and adjusting the initial parameters based on the sensor data.

The disclosure relates to a computer-implemented method for monitoring diaphragmatic response to phrenic nerve stimulation. The method comprises receiving in real-time a diaphragmatic CMAP signal. The method comprises computing a baseline value of a characteristic of the CMAP signal. The characteristic represents a diaphragmatic response intensity to a phrenic nerve stimulation. The method comprises determining a threshold value of the characteristic, representing a boundary of values of the characteristic indicative of upcoming diaphragmatic palsy. The determining of the threshold value includes shifting the baseline value. The method comprises receiving in real-time a ECG signal. The method comprises repeating in real-time: detecting a QRS complex in the ECG signal, monitoring the CMAP signal, computing a real-time value of the characteristic, comparing the real-time value to the threshold value, and outputting an alert when the threshold is passed. The real-time value of the characteristic is asynchronous to the QRS complex.

Methods and systems for using evoked neural response to inform aspects of deep brain stimulation therapy are disclosed. According to some embodiments, a series of evoked neural response signals are recorded, and one or more waveform features are extracted from each of the signals. The waveform features can be used as biomarkers and or control signals for informing aspects of the therapy, such as lead implantation/localization, optimization of stimulation parameters, and/or closed loop feedback for maintaining chronic therapy. Embodiments include a check to determine and classify if any of the recorded neural response signals or portions thereof are corrupted. In the event that any of the signals are corrupted, values for the waveform features for the corrupted signals are interpolated using uncorrupted neural response signals in the series and/or uncorrupted portions of the problem neural response signal.

A method, system, and apparatus for temporarily modifying an impedance of a neural stimulator. The apparatus includes an antenna comprising a first pole and a second pole, a switching circuit configured to output switched signals, a rectifier configured to receive switched signals from the switching circuit, a plurality of electrodes, and a controller, wherein the switching circuit, based on the control signal, modifies one or more of a first pole signal or a second pole signal. The impedance may be modified via one or more switches in a switching circuit of the neural stimulator. The impedance change may be sensed by an external circuit. Also, an electrode-tissue impedance of the neural stimulator may be determined and an impedance of an external circuit modified based on the electrode-tissue impedance of the neural stimulator.

A method of treating a patient having a blood pressure comprises delivering neuromodulation therapy to sustain or increase the blood pressure. The neuromodulation therapy includes placing a sympathetic therapy electrode in a posterior portion of a blood vessel and stimulating at least one extravascular cardiac sympathetic nerve fiber using said electrode.

A method of detecting catheter movement includes positioning a first sensor in a first body cavity, monitoring a first parameter profile of the first body cavity, positioning a second sensor in a second body cavity, monitoring a second parameter profile of the second body cavity, the second parameter profile different than the first parameter profile at a first time, and, when the second parameter profile is the same as the first parameter profile at a second time after the first time, taking a catheter movement action.

A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.