A system for hepatic nerve denervation includes a medical device and a generator in communication with the medical device. The medical device includes an elongate body having a proximal portion and a distal portion opposite the proximal portion, and a plurality of treatment electrodes coupled to the distal portion. The distal portion is configured to be in contact with an area of target tissue. The area of target tissue is an area of tissue within the hepatic artery. The generator is configured to generate and deliver at least one pulse train of energy to the plurality of treatment electrodes to ablate the area of target tissue.

A method of operating a radar sensor system that is configured to determine range and velocity information from radar waves reflected by a scene in an interior of a vehicle for vital sign detection. The method includes steps to decompose reflected and received signals into range and velocity information, to measure the movement over time in specified range gates and to evaluate the similarities between them. Based on the characteristics of similar behaving range bins, it can be decided whether any detected movement is related to an internal or external disturbance or by vital signs.

Diabetes analysis system for analysis and interpretation of data related to glucose level (GL) in blood. The system includes an input module to receive GL related data from measurements of interstitial fluid in subcutaneous tissue, and a hypoglycemia identification module to identify hypoglycemic events by performing a computer-implemented automatic search of the received GL related data. All uninterrupted glucose levels less than a predetermined level in a same time series are considered as one hypoglycemic event. A hypoglycemia classification module analyzes, for each identified event, the glucose data during a predetermined first time period preceding the hypoglycemic event, to determine the glucose level during the first time period. The hypoglycemia classification module determines the type of hypoglycemia event, based upon the glucose level during the first time period, by applying a computer-implemented pattern search procedure on a predetermined hypoglycemic classification scheme, in order to identify the underlying cause of hypoglycemia.

This disclosure is directed to systems and techniques for detecting change in patient health and if a change in patient health is detected, direct a medical device to generate for display output indicating the detection of the change in patient health. An example medical system or technique applies a model to values of configurable settings that are programmed into detection logic of a medical device; based on the application, determine whether modified values of the configurable settings, when implemented by the detection logic, would change a determination, by the medical device, regarding whether sensed physiological activity is indicative of cardiac episode for a patient; and in response to a determination that the modified values would change the determination regarding whether the sensed physiological activity is indicative of the cardiac episode for the patient, generate output data indicative of the modified values for the configurable settings for the medical device.

The embodiments of the present disclosure disclose a system and method. The system may include at least one storage device configured to storage computer instruction; and at least one processor, in communication with the storage device. When executing the computer instructions, the at least one processor is configured to direct the system to perform operations including: obtaining a sensing signal of at least one sensing device; identifying a signal feature of the sensing signal; and determining, based on the signal feature, an operation of a target object associated with the at least one sensing device.

Disclosed herein are an apparatus and a method for estimating the behavior of a user based on an image converted from sensing data. The apparatus for estimating the behavior of a user based on an image converted from sensing data includes memory for storing at least one program, and a processor for executing the program, wherein the program performs acquiring sensing data measured by one or more behavior measurement devices worn by the user, converting sensing data of the user obtained for a predetermined time period into images, and estimating the behavior of the user from the images of the user based on a pre-trained model.

An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to extract atrial signals from electrical signals acquired from a patient suffering from atrial fibrillation. The electrical signals acquired from the patient may be intra-cardiac signals or body surface electrode signals, or both. At least portions of QRS or QRS-T complexes corresponding to determined initial synchronization times are used to generate Fast Fourier Transforms (FFTs) corresponding to the extracted QRS complexes. A series of steps follow to generate isolated atrial signals corresponding to each electrical signal by subtracting generated reconstructed signals corresponding to each such electrical signal therefrom.

The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.