A medical monitoring system for use in residential facilities, nursing homes, or home environments is disclosed. The system utilizes a variety of modules and wearable medical devices that convey vital patient information to a series of smart hubs which are connected to the cloud. In the event a change in medical status of a patient occurs, the health care workers receive an Alert notifying them of which specific patient needs attention. The system is monitored using a specialized dashboard.

Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

Systems and methods for analyte monitoring, particularly systems and methods for monitoring and managing life of a battery in an analyte sensor system worn by a user, are provided.

A method of administering insulin includes receiving scheduled glucose time intervals and obtaining glucose data of a patient that includes glucose measurements, glucose times, and insulin dosages previously administered by the patient. The method also includes applying a set of filters to identify which of the glucose measurements associated with at least one of the scheduled time intervals are usable and which of the glucose measurements associated with the at least one scheduled time interval are unusable. The method also includes aggregating the glucose measurements associated with the at least one scheduled time interval identified as usable to determine a representative aggregate glucose measurement and determining a next recommended insulin dosage for the patient based on the representative aggregate glucose measurement and the insulin dosages previously administered by the patient.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the instructions are executed by the processor, the physiological information processing apparatus obtains physiological information data indicative of physiological information of a subject, obtains a first parameter associated with a vital sign of the subject based on the physiological information data, displays a first trend graph showing temporal change in the first parameter in a first display area of a display screen of a display, obtains a second parameter associated with an autonomic nerve function of the subject based on the physiological information data, and displays a second trend graph showing temporal change in the second parameter in a second display area of the display screen. The first and second display areas are displayed next to each other such that time axes of the first and second display areas are synchronized with each other.

A bed has a mattress. A sensor is configured to sense sleep readings of a user sleeping on the bed. An automation controller is configured to transmit the sleep readings to a cloud service. Hardware hosting the cloud service is configured to compare the sleep readings with trend data in order to generate adjustments to the user's sleep environment.

Contactless operation of a medical device, such as a hemodialysis (HD) or peritoneal dialysis (PD) device, is provided via a mobile pointing apparatus and a receiving arrangement associated with the medical device. The mobile pointing apparatus includes a signal emitter for emitting an optical or electromagnetic signal, and the receiving arrangement associated with the medical device determines a pointing target of the mobile pointing apparatus relative to the medical device based on the signal emitted by the mobile pointing apparatus and triggers a function of the device based on the pointing target of the mobile pointing apparatus.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.