A sensor device is described herein. The sensor device includes a multi-dimensional optical sensor and processing circuitry, wherein the multi-dimensional optical sensor generates images and the processing circuitry is configured to output data that is indicative of hemodynamics of a user based upon the images. The sensor device is non-invasive, and is able to be incorporated into wearable devices, thereby allowing for continuous output of the data that is indicative of the hemodynamics of the user.

This document describes techniques and devices for blood-solute calculation with a mobile device using non-invasive spectroscopy. A mobile device (502) includes a light source (504) that emits light toward an interferometer (508) that uses mirrors to separate and recombine the light. The interferometer directs the recombined light toward a person. Light reflected from, or transmitted through, the person is received through a reception port (506) to a photodetector (510) that outputs photodetector data that corresponds to a measured light intensity of the reflected and transmitted light as a function of a path length of the light or a mirror position of the interferometer. Based on the photodetector data, an interferogram is generated. Applying a technique such as a Fourier transform to the interferogram, a spectrum data set of the reflected and transmitted light is generated. Based on the spectrum data set, a concentration of solutes in the person's blood is calculated.

Systems and techniques for enhanced sleep tracking, monitoring, and conditioning are discussed herein. A device may be couplable to, or integrally formed with, a piece of furniture (a “nearable”) receives sensor data from one or more sensors accessible to the device and, based on a determined stage of sleep, may actuate one or more devices for conditioning sleep. In some examples, the nearable may be configured to receive a smartphone such that one or more processors and sensors of the smartphone may be used to perform at least some of the processes. When configured to receive a smartphone, the nearable's cavity may retain the smartphone via a spring mechanism to create an additional button for user interaction, as well as be shaped to minimize an amount of electromagnetic radiation (including light emitted from a screen) of the smartphone, while optimizing sounds output from the smartphone.

A system for the administration of oculomotor tests with a mobile device is disclosed. The system includes: a cradle having a cavity configured to receive the mobile device therein; at least one light and at least one light sensor arranged on the cradle; an elongated light bar attachable to and electrically connectable to the cradle; and a stand including: an elongated frame configured to rest flat on a horizontal surface, the elongated frame comprising a first end, a second end, and a long axis defined between the first and second ends; a chin rest arranged at the first end; and a cradle support arranged at the second end and supporting the cradle thereon. The system facilitates the self-administration of a full stack of oculomotor tests.

An exemplary embodiment of the present disclosure provides a method of determining stress levels in a user comprising: receiving galvanic skin response (GSR) measurements by a wearable sensor on the user over a period of time; receiving temperature measurements by the wearable sensor on the user over the period of time; determining changes in the temperature over a predetermined threshold in the temperature measurements over the period of time; calibrating the GSR measurements based on the determined changes in temperature over the predetermined threshold; calculating a stress level of the user based on the calibrated GSR measurements; and generating an output indicative of the calculated stress level.

Disclosed are systems and methods for assessing pulmonary health. An example system includes a handheld electronic device (HED); a casing; and at least one circuit board. The HED includes a display screen, a processor, and a software application. The casing includes a plurality of ECG electrodes that are placed on the outer surface of the casing and at least one diaphragm. The ECG electrodes capture the electrophysiological data of the user. The circuit board is configured within the casing and electrically connected with the ECG electrodes and a microcontroller. The circuit board is further connected to at least one sound transducer and at least one Inertial Measurement Unit (IMU) sensor. The sound transducer captures pulmonary signals indicative of pulmonary health. The IMU sensor captures seismic and gyroscope signals indicative of the pulmonary health of the user and the orientation of the casing. The diaphragm enhances the pulmonary audio signals captured by the sound transducer. The microcontroller transmits the pulmonary health data to at least one of the HED and a computing device.

An example device of a patient includes an antenna configured to wirelessly receive communication from a medical device; and processing circuitry coupled to the antenna and configured to: determine that the received communication indicates that a patient is experiencing an acute health event; in response to the determination, determine one or more physical states of the patient based on sensed data from one or more sensors; confirm that the patient is not experiencing the acute health event based on the determined one or more physical states; and output information based on the confirmation that the patient is not experiencing the acute health event.

Embodiments include a system for measuring respiratory function of a user. The system can include an optical sensing unit configured to detect movement of a torso of the user. The system can include an electronic device configured to provide a first request for the user to breathe at a first rate during a first time period and a second request for the user to breathe at a second rate during a second time period. The system can include a processing unit configured to determine a first respiration parameter based on the movement of the torso during the first time period and determine a second respiration parameter based on the movement of the torso during the second time period. The processing unit can determine a level of respiratory function based on the first respiration parameter and the second respiration parameter.

An apparatus for estimating bio-information, may include: a main body; a photoplethysmogram (PPG) sensor disposed in the main body and configured to measure a PPG signal from an object of a user; an internal pressure sensor disposed in a closed space formed in the main body, and configured to measure a pressure applied to the closed space when the object applies force to a surface of the main body; and a processor configured to estimate the bio-information of the user based on the PPG signal and the pressure applied to the closed space.

A method for contextually aware determination of respiration includes obtaining, by an electronic device, context information and selecting, by the electronic device, a set of sensor data associated with respiratory activity of a subject, based on the context information. The method further includes selecting, based on the selected set of sensor data, an algorithm from a plurality of algorithms for determining a respiration rate of the subject, and determining, by applying the selected algorithm to the selected set of sensor data associated with respiratory activity of the subject, the respiration rate for the subject.