The present discovery generally pertains to the formulation of therapeutic compounds to treat the symptoms of esophageal disorders. More specifically, the present discovery pertains to two 1-di-alkyl-phosphinoyl-alkanes (DIPA) called DIPA-1-8 and DIPA-1-9. These compounds are formulated as a shaped medicament and swallowed to suppress the symptoms of esophageal reflux and dyspepsia. The DIPA act by creating sensations of coolness and cold on the pharyngeal and esophageal lining. Some of the symptoms relieved include cough, chronic cough, heartburn, chest pain, bloat, belching, and dyspepsia. A preferred embodiment is DIPA-1-9 dissolved in a gel matrix. An aspect of the invention is to design the medicament to be intercepted, impeded, ensnarled, or trapped in the pharyngeal valleculae and pyriform sinuses before it passes down the esophagus. The goal is to prolong the transit time of the medicament, also herein sometimes call the Shaped-Gel, in the hypopharynx and esophagus, so the active ingredient has ample time to dissolve in saliva and reach receptors for cooling. By experiment, the ideal formulation of the Shaped-Gel was a flat rectangular or toroid shape, with a mass of 0.3 to 0.8 g. Flatness was defined as a pill with the shortest axis, preferentially 5 to 45% of the longest axis.

A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

A stimulation protocol determination system includes an input module and a selector module. The input module is provided to receive an indication of an upper airway flow limitation via sensed respiratory effort information. The selection module is provided to automatically select, based on the indicated upper airway flow limitation, a stimulation protocol.

The systems and methods can provide continuous, efficient, accurate, non-contact, monitoring of one or more cardiorespiratory and/or behavior parameters associated with a subject in a defined environment using at least non-contact sensor data and provide feedback based on the determined parameters. The system can include one or more sensor modules disposed within defined environment(s). The system may further include one or more sensors disposed at a specific spatial location in the defined environment. The sensor(s) may include non-contact electric field sensor(s) configured to record non-contact sensor data related to one or more periods of stillness and/or movement of the subject. The system may further include one or more processors configured to determine cardiorespiratory respiratory parameters and/or behavior parameters using the non-contact sensor data. Because the systems and methods also allow for continuous collection of measurable variables, they can provide a high-throughput quantifiable record of the subject's physio-behavioral self.

The present invention relates to systems for providing noninvasive cranial nerve stimulation and methods for using the same. The present invention administers therapy through electrodes that are noninvasively attached to one or more of a subject's cranial nerve. The systems can be used to enhancing rehabilitation and recovery by improving neuroplasticity and coupling muscle training with feedback.

A plurality of image projections are acquired at faster than cardiac rate. A spatiotemporal reconstruction of cardiac frequency angiographic phenomena in three spatial dimensions is generated from two dimensional image projections using physiological coherence at cardiac frequency. Complex valued methods may be used to operate on the plurality of image projections to reconstruct a higher dimensional spatiotemporal object. From a plurality of two spatial dimensional angiographic projections, a 3D spatial reconstruction of moving pulse waves and other cardiac frequency angiographic phenomena is obtained. Reconstruction techniques for angiographic data obtained from biplane angiography devices are also provided herein.

A method for providing treatment recommendations for a patient to a physician is disclosed. The method includes receiving health information associated with the patient, determining a first risk score for the patient based on the health information using a trained predictor model, determining a second risk score for the patient based on the health information and at least one artificially closed care gap included in the health information using the predictor model, determining a predicted risk reduction score based on the first risk score and the second risk score, determining a patient classification based on the predicted risk reduction score, and outputting a report based on at least one of the first risk score, the second risk score, or the predicted risk reduction score.

A method for providing treatment recommendations for a patient to a physician is disclosed. The method includes receiving health information associated with the patient, determining a first risk score for the patient based on the health information using a trained predictor model, determining a second risk score for the patient based on the health information and at least one artificially closed care gap included in the health information using the predictor model, determining a predicted risk reduction score based on the first risk score and the second risk score, determining a patient classification based on the predicted risk reduction score, and outputting a report based on at least one of the first risk score, the second risk score, or the predicted risk reduction score.

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.