Method and system for providing basal profile modification in insulin therapy for use with infusion devices includes periodically monitoring the analyte levels of a patient for a predetermined period of time in order to determine, based on the monitored analyte levels, an appropriate modification factor to be incorporated into the underlying basal profile which was running at the time the periodic monitoring of the analyte levels were performed.

A system includes a memory storing a user profile for a user of the system and machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive physiological data associated with the user during a sleep session, determine, based at least in part on the received physiological data, a set of sleep-related parameters for the sleep session, subsequent to the sleep session, select one of the set of sleep-related parameters as a targeted parameter, the selection of the targeted parameter being based at least in part on the stored user profile, the set of sleep-related parameters, or both, and cause information to be communicated to the user via a user device, the information being indicative of the targeted parameter, a recommendation associated with improving the targeted parameter for the user in one or more subsequent sleep sessions, or both.

The invention relates to a patient interface comprising a plenum chamber, a seal-forming structure, and a positioning and stabilizing structure, as well as the method of operating the patient interface. The patient's interface is configured to leave a patient's mouth uncovered or if the seal-forming structure is configured to seal around a patient's nose and mouth, the patient interface is configured to allow the patient to breath from the ambient in an absence of the flow of pressurized. The positioning and stabilizing structure includes headgear, and the seal-forming structure and at least a portion of the headgear is formed from a one piece construction of textile material. In another embodiment, the seal-forming structure and/or the positioning and stabilizing structure includes an adaptive portion that adjusts based on usage conditions. In another embodiment, the positioning and stabilizing structure, the seal-forming structure and/or the plenum chamber includes and/or is formed of a textile material, and the textile material includes at least one magnetic thread constructed of magnetic material to provide a magnetic interaction between a first part of the patient interface and a second part of the patient interface. In another embodiment, a stiffener is coupled to the plenum chamber, the seal-forming structure, and/or the positioning and stabilizing structure. In another embodiment, at least one of the plenum chamber and the seal-forming structure includes a textile material; and wherein the textile material includes a surface structure that limits adhesion of debris. A UV cleaning receptacle of the patient interface is also disclosed.

An XR-based system (virtual reality, augmented reality, or mixed reality system), is provided to visualize and resolve at least one condition of a subject. A dynamic virtual representation of the subject's body is generated based on the captured physical traits and movement of the subject's body is captured by at least one motion tracking device, and rendered in the extended reality environment. The dynamic virtual representation is synchronized with the movement of the body of the subject, generating a virtual representation of at least one condition of the subject in response to one or more inputs, overlaying or rendering the virtual representation of the condition of the subject on the virtual representation of the body of the subject, and receiving and processing one or more inputs representing one or more attributes of the condition to adjust the virtual representation of the condition of the subject in the extended reality environment.

A wearable device 100 for managing alcohol-driven violence is disclosed. The device 100 comprises a capsule C1 adapted to sense sweat of wearer and detect a level of alcohol in the sweat, a capsule C3 adapted to convert a data detected by the capsule C1 to generate signal activating a capsule C4, a capsule C2 adapted to provide power to the capsule C3, and a capsule C5 adapted to detect a muscle activity of the wearer, wherein the capsule C4 is adapted to inject a drug into the body of the wearer, when activated, and wherein the capsule C5 alerts authorities when no muscle activity is detected.

Provided are a brain stimulation system, method, apparatus and storage medium based on artificial intelligence. The system includes: a plurality of brain stimulation terminals and a cloud platform. The cloud platform is configured to, with artificial intelligence algorithm especially machine learning and deep learning, generate multi-dimensional psychological big data using physiological data and psychological state evaluation parameters gotten from the plurality of brain stimulation terminals and established models of algorithm for disease diagnosis. The brain stimulation terminal is configured to analyze the physiological data and psychological state evaluation parameters of a target subject, measure a mental state of the target subject, obtain brain stimulation parameters required for the target subject according to the mental state, and generate corresponding non-invasive brain stimulation for the target subject according to the brain stimulation parameters based on the multi-dimensional big data through the artificial intelligence algorithm.

A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.

Systems and associated methods are provided for monitoring a user while operating a computing device and providing active feedback to said user regarding health and safety best practices associated with operating said computing device. The methods comprise obtaining user biometric data; converting said biometric data into actionable instances of health and safety user device operation use cases; and interacting with the user based on said actionable instances in order to improve or remedy any deviations from recommended health and safety user device operation practices.

The disclosure provides methods that facilitate disease management by providing for early detection of metabolic changes that differentiate critically ill-COVID-19 patients under mechanical ventilation at the intensive care unit (ICU) who are likely to exhibit faster recovery.

An inhalation device defines a receptacle for receiving an aerosol-forming substrate containing at least one vaporizable substance; an atomizer configured to generate an aerosol from the aerosol-forming substrate; a first sensor configured to generate a first signal or first data associated with a presence of at least one chemical substance in the generated aerosol; a second sensor configured to generate a second signal or second data associated with a further characteristic of the generated aerosol or of the aerosol-forming substrate or of the at least one vaporizable substance; and at least one controller configured to separately analyze both the first signal or first data and the second signal or second data to determine first and second analysis results, and configured to determine an operation mode of the inhalation device or to determine whether to alter an operation of the inhalation device based on both the first and second analysis results.