Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for an enhanced goniometer. In some implementations, a method includes obtaining a sequence of measurements to be measured based on one or more data points of an examination; receiving input from a user initiating a measurement; receiving raw data from a measuring component; processing the raw data to exclude measurements corresponding to one or more axes; generating a measurement result based on the processed raw data; and providing the measurement result for output.

A method for live patient tracking for surgical centers and hospitals is provided comprising tracking patient journey through a healthcare facility. The method also comprises overlying tracked journey data on patient surgical status data and visualizing the overlaid journey data and surgical status data on a display. Visualization of data is performed on the display of a TV screen, a tablet, a desktop computer, a tablet or a smartphone. The visualized data includes patient indoor location within the healthcare facility. Patient indoor location is performed by means of an indoor positioning system such as Real Time Location Service (RTLS) system.

A hand-held device, such as a remote control, is provided for operation of a consumer appliance and is equipped with one or more biometric sensors to capture and report on the health condition of a user of the hand-held device. The data captured by such a hand-held device may be evaluated locally in the hand-held device itself or may be conveyed to a target consumer appliance either for local evaluation by that consumer appliance or for onward transmission to a central off-site monitoring service.

Methods, systems, computer-readable media, and apparatuses for obtaining at least one bodily function measurement are presented. A mobile device includes an outer body sized to be portable for user, a processor contained within the outer body, and a plurality of sensors physically coupled to the outer body. The sensors are configured to obtain a first measurement indicative of blood volume and a second measurement indicative of heart electrical activity in response to a user action. A blood pressure measurement is determined based on the first measurement and the second measurement. The sensors also include electrodes where a portion of a user's body positioned between the electrodes completes a circuit and a measurement to provide at least one measure of impedance associated with the user's body. A hydration level measurement is determined based on the measure of impedance.

A system for monitoring neural activity of a living subject is provided. The system may comprise a correspondence module configured to be in communication with (1) a neural module and (2) one or more additional modules comprising a sensing module, another neural module, and/or a data storage module. The neural module(s) are configured to collect neural data indicative of perceptions experienced by the living subject. The sensing module may be configured to collect (1) sensor data indicative of real-world information about an environment around the living subject, and/or (2) sensor data indicative of a physical state or physiological state of the living subject. The data storage module may be configured to store prior neural data and/or prior sensor data. The correspondence module may be configured to measure a correspondence (a) between the neural data collected by the neural module(s) and the sensor data collected by the sensing module, (b) between the neural data collected by two or more neural modules, and/or (c) between the neural data collected by the neural module(s) and the prior data stored in data storage module. The measured correspondence can be used to determine a presence, absence, or extent of a potential cognitive or physiological disturbance of the living subject.

A mental health assessment system comprises a mobile device comprising a plurality of sensors for receiving respective inputs over time; a feature monitoring module configured to interpret the sensor inputs as representing behaviours of a user of the mobile device; an analysis module for analysing the represented behaviours relative to external data to determine a risk measure; and a response module for responding to the behaviours according to the risk measure.

A mobile communication device-based corneal topography system includes an illumination system, an imaging system, a topography processor, an image sensor, and a mobile communication device. The illumination system is configured to generate an illumination pattern reflected off a cornea of a subject. The imaging system is coupled to an image sensor to capture an image of the reflected illumination pattern. A topography processor is coupled to the image sensor to process the image of the reflected illumination pattern. The mobile communications device includes a display, the mobile communications device is operatively coupled to the image sensor. The mobile communications device includes a mobile communications device (MCD) processor. A housing at least partially encloses one or more of the illumination system, the imaging system, or the topography processor.

A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Each symptom is identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Because direct measurement of symptoms using the sensors available to the user may not be feasible or sufficiently accurate, the triage system also uses surrogates the identify certain symptoms. For example, a fever may be identified using heart data, a cough or shortness of breath may be identified by analyzing recorded sound, fatigue may be identified by analyzing the movement of the user device, and loss of smell or taste may be identified by recording sound and using speech detection algorithms to identify phrases in the recorded sound indicative of loss of smell or taste.

Methods and systems for detecting relapse or recovery events of a user (e.g., an individual, a patient undergoing mental health and addiction treatment) are disclosed. A mobile device detects a communication from a user. The mobile device determines present attributes associated therewith. The mobile device determines, as a function of the communication and the present attributes, a likelihood that a relapse or a recovery event associated with the user is to occur. In response to determining that a relapse or recovery event is to occur, the mobile device transmits a content communication responsive to the relapse or recovery event to the user

A single smart health device able to monitor all physiological aspects of a human body includes a body fluid detection module, a temperature detection module, an electrocardiogram detection module, and a control module. The body fluid detection module tests and detects amounts of biological substances in body fluids. The temperature detection module detects a temperature of the human body. The electrocardiogram detection module detects a heart rate of the human body. The control module is electrically connected to the body fluid detection module, the temperature detection module, and the electrocardiogram detection module, and obtains the detected amounts of biological substances, the detected temperature, and the detected heart rate.