Methods and systems are disclosed for prompting a patient to take a blood glucose management action. A diabetes management application on a mobile device can receive diabetes-related information from the mobile device. The diabetes management application can identify a blood glucose management action prompt based on a comparison of the received diabetes-related information to one or more predetermined prompt criteria. The diabetes management application can generate a blood glucose management action prompt based on the blood glucose management action prompt condition. The diabetes management application can present the blood glucose management action prompt to the patient on a user interface of the mobile device.

Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other tissue or other body portion captured using a mobile device, such as a smartphone or tablet. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

An information display device comprises a communication device connected to a communication network; a display; and a processor connected to each of the communication device and the display. The processor is configured to: calculate an information fake level indicating a level of credibility of display information received by the communication device via the communication network and displayed on the display based on a characteristic relating to the credibility on the display information; calculate a user-specific fake level coefficient indicating a level in which a user who operates the information display device is able to judge accuracy of the credibility of the display information based on an index representing how the user tends to judge the credibility; correct the information fake level using the user-specific fake level coefficient to calculate a user-specific fake level; and display the user-specific fake level on the display.

A system and method is provided for tracking sleep dynamics in a subject. In one aspect, a method includes acquiring physiological data using sensors positioned about the subject, and acquiring behavioral data using input provided by the subject. The method also includes generating a statistical model of wakefulness by combining information obtained from the acquired physiological data and behavior data, and estimating a probability indicative of a degree to which the subject is awake at each point in time during sleep onset using the statistical model. The method further includes generating a report indicative of sleep onset in the subject.

Methods, computer-readable media, systems, and/or apparatuses are provided for providing offer and insight generation functions. User input requesting an offer or insight may be received and an image of a photographic identification of a user may be requested. The image of the photographic identification may be captured and stored. A self-captured image of the user may be captured (e.g., via an image capture device of the computing device) and compared to an image of a user from the photographic identification. Responsive to determining that the images match, displaying an instruction to capture a vehicle identification number. The vehicle identification number may be captured. Data, including location data, may be extracted and an archive including the extracted data may be generated and the data may be transmitted to an entity computing system for processing. The entity computing system may evaluate the data and generate one or more insights and/or outputs.

A removable smartphone case is disclosed. The removable smartphone case includes a case body configured to receive a smartphone, a radio frequency (RF) front-end connected to the case body and including a semiconductor substrate, at least one transmit antenna configured to transmit radio waves below the skin surface of a person, and a two-dimensional array of receive antennas configured to receive radio waves, the received radio waves including a reflected portion of the transmitted radio waves, wherein the semiconductor substrate includes circuits configured to generate signals in response to the received radio waves, a digital baseband system configured to generate digital data in response to the signals, wherein the digital data is indicative of a health parameter of the person, and a communications interface configured to transmit the digital data generated by the semiconductor substrate from the removable smartphone case.

A method for monitoring a health parameter in a person involves engaging an alignment feature of a health monitoring device with an alignment feature of an alignment element that is worn on the skin, transmitting radio waves from at least one transmit antenna of the health monitoring device below the skin surface of the person while the alignment feature of the health monitoring device is engaged with the alignment feature of the alignment element that is worn by the person, receiving radio waves on a two-dimensional array of receive antennas of the health monitoring device while the alignment feature of the health monitoring device is engaged with the alignment feature of the alignment element that is worn by the person, generating digital data that corresponds to the received radio waves, and determining a value that is indicative of a health parameter of the person in response to the digital data.

Systems, methods, and apparatus for identifying a health disorder based on a temperature asymmetry estimation. A system may include a thermal camera configured to detect thermal images of an inspected body part and a reference body part, which may be contralateral to the inspected body part. The system may further include an optical camera configured to detect optical images of the inspected body part and the reference body part. The system may further include a remote mobile device having a mobile processor programmed to control the thermal camera to detect the thermal images and the optical camera to detect the optical images. The system may further include remote server having a diagnostic processor programmed to determine that a functional disorder or inflammation of the inspected body part has occurred by analyzing the thermal images and the optical images.

A display device includes a display panel which display an image, an input sensor disposed on the display panel, and a readout circuit which output a moisture level signal corresponding to sensing signals received from the input sensor in a skin measurement mode.