A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

A sensor unit including a plurality of driving electrodes, and a plurality of sensing electrodes, in which a first unit sensor is defined by R driving electrodes among the plurality of driving electrodes and S sensing electrodes among the plurality of sensing electrodes in a first driving mode, a second unit sensor is defined by P driving electrodes among the plurality of driving electrodes and Q sensing electrodes among the plurality of sensing electrodes in a second driving mode, P, Q, R and S are integers equal to or greater than 1, and R is smaller than P, and S is smaller than Q.

A method for remotely assessing oral health of a user of a mobile device by obtaining, using the mobile device (40), at least one digital image (1) of said user's (30) oral cavity (31) and additional non-image data (2) comprising anamnestic information about the user (30). The digital image (1) is processed both using a statistical object detection algorithm (20) to extract at least one local visual feature (3) corresponding to a medical finding related to a sub-region of said user's oral cavity (31); and also using a statistical image recognition algorithm (21) to extract at least one global classification label (4) corresponding to a medical finding related to said user's oral cavity (31) as a whole. An assessment (10) of the oral health of said user (30) is determined based on the local visual feature(s) (3), the global classification label(s) (4) and the non-image data (2).

Embodiments are disclosed for assessing walking steadiness of a mobile device user. In some embodiments, a method comprises: obtaining, with at least one processor of a mobile device, one or more mobility metrics indicative of a user's mobility, the mobility metrics obtained at least in part from a time series of sensor data output by at least one sensor of the mobile device; evaluating, with the at least one processor, the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features indicative of variability of the user's gait; and generating, with the at least one processor, at least one walking steadiness indicator for the user based on one or more walking steadiness component models and the one or more longitudinal features. Also disclosed are embodiments for training the component models.

A method for determining one or more vital signs of a person includes recording video images of a scene with an egocentric camera coupled to the person's body, detecting and magnifying image frame-to-image frame movements in the video images of the scene, representing the magnified image frame-to-image frame movements in the video images of the scene by a one-dimensional (1D) amplitude-versus-time series, and transforming the 1D amplitude-versus-time series representation into a frequency spectrum. The method further includes identifying one or more local frequency maxima in the frequency spectrum as corresponding to one or more vital signs of the person.

A night light may include a night light housing, a light source associated with the housing, a speaker associated with the housing, a controller configured to control operations of the night light, a stand adapted to receive the housing a charge a battery associated with the housing to power the operations of the night light, and a sensor associated with the housing configured to detect when the housing is positioned on the stand or when the housing is not positioned on the stand. The controller may be configured to reduce sound volume output from the speaker, or disable a wireless communication port associated with the housing when the housing is not detected to be positioned on the stand.

A system and method for remote monitoring of patient motor functions includes a computing device that uses captured image data depicting a patient's body part and, based on movement information, detects whether a condition may exist that is affecting motor functions. The body part can be a hand that is tracked as the user performs a tapping exercise. The body part can also include the patient's face during speech and also without speech.

A user's motion while seated on an active chair is monitored and the user's metabolic expenditures stemming from the motion are determined. Information associated with or derived from the measured motion and/or determined metabolic expenditures maybe be displayed. Motion sensors and gyroscopes are configured to detect the motion of the active chair associated with active sitting while the user is sitting. Data from these sensors is used to determine sitting activity of the user. In addition, representations of the movement of the active chair can be displayed on a screen in real time, allowing for the gamification of sitting as a way to encouraging users to move more, or to move in prespecified ways so as to learn new movement patterns and new skills.

The present invention provides a PHHM for the measurement of a subject's BP and, optionally, one or more other vital signs, comprising a housing located on a PHHCD or a hand-held component of a computing system; a blood flow occlusion means located in the housing such that, when the housing is located on the PHHCD or the hand-held component, an open surface of the blood flow occlusion means is available to be pressed against a body part of the subject or to have a body part of the subject pressed against it; a pressure sensor adapted to provide an electrical signal indicative of the pressure applied to or by the open surface; a means for detecting the flow of blood in the body part of the subject when pressure is applied to or by the open surface; and means for receiving electrical signals from the pressure sensor and the blood flow detecting means and for transmitting electrical signals indicative of the pressure and blood flow to the processor of the PHHCD or the computing system, wherein the processor of the PHHCD or computing system is adapted to process signals acquired by the pressure sensor and the blood flow detecting means to provide at least a measurement of the BP of a subject, the processor is further adapted to carry out a process to measure a DBP value and a SBP value, the DBP and the SBP values are estimated in such a way that the difference between the measured optical signals and those that would be generated by the estimation of the DBP and SBP values is minimized or the DBP and the SBP values are estimated in such a way that the difference between the measured incremental pressure signals and those that would be generated by the estimation of the DBP and SBP values is minimized. The present invention also provides alternative PHHMs and SADs for use in such PHMS.

An integrated disease management system provides patients with simple, quick, and readily available counseling regarding a healthy diabetic lifestyle. The system can include an interactive engine with predictive analytics and machine learning to provide a customized experience for a user. The system can be configured to transmit data to a remote server to perform analysis of received data (e.g., disease management data), to provide feedback to the user (e.g., customized feedback with curated content based on a user's data and interface interactions) and send all or a portion of the data and/or curated content to another user device or remote health management access point (e.g., as cloud storage) where the information can be accessed by healthcare stakeholder.