An apparatus device may include a bio-impedance sensor configured to take a bio-impedance measurement from a body of an individual, an optical sensor configured to take an optical measurement from the body of the individual, and a processing device configured to receive a first bio-impedance measurement from the bio-impedance sensor taken during a first period of time and a first optical measurement from the optical sensor taken during the first period of time, receive first location information of the individual during the first period of time, determine a first correlation between a physiological parameter and at least one of the first location, the first bio-impedance measurement, or the first optical measurement, and determine a first level of the physiological parameter based on the first correlation.

Systems and methods for predicting exposure to an agent. One or more features are extracted from physiological data. For each respective classifier, (i) the respective classifier is identified, wherein the respective classifier is trained using training data for a respective physiological state, (ii) the respective classifier is applied to the one or more features to obtain a classifier output that represents a likelihood of exposure, (iii) a respective first threshold is applied to the classifier output to determine a patient state classification, and (iv) the patient state classifications are aggregated across a number of time intervals to obtain an aggregate patient state classification for each classifier. The aggregate patient state classifications are combined across the plurality of classifiers to obtain a combined classification, and an indication that the patient has been exposed to the agent is provided when the combined classification exceeds a second threshold.

Techniques and technologies for determining and enhancing productivity are described. In at least some embodiments, a system for includes a processing component operatively coupled to a memory; a productivity analyzer at least partially disposed in the memory, the productivity analyzer including one or more instructions that when executed by the processing component perform operations including: receive productivity data associated with usage of one or more productivity tools by at least one user during a time period; receive biometric data associated with one or more biometric aspects of the at least one user during the time period; analyze one or more aspects of the productivity data and the biometric data; and determine based on the analysis at least one productivity-related operation intended to enhance at least one productivity metric of the at least one user.

A mobile device, methods and systems provide the invention mobile Personal Health Records (PHR) management platform solution. The platform enables secure PHR data management, measuring user's medical parameters, managing PHR secured depository containing user's health data on the user's invention combined phone & add-on sleeve device, while blocking none legitimate users access to the invention devices secured storage content. The invention device user's authentication is based on the combined weighted fusion of at least two different human biological sensors within the device and their weighted output analysis. The multi-sensors ensure bio-authentication secured memory entry only for the legitimate device user. In case of authentication success it activates various types of applications on the user PHR data depository content stored in device. The system supports the user's PHR remote health management, remotely monitoring the user's measured medical parameters, updating & managing user's health medical history depository in the user's electronic sleeve.

Systems and methods for continuous real-time sweat sampling and analysis are disclosed. In one case, a sweat collection device and method of using the same are provided. The sweat collecting device has a main body with a sweat-collecting surface that is placed adjacent the person's skin. A sweat collecting tube is provided. The first end of the sweat collecting tube is joined to a bore in the main body of the device and the second end extends outward therefrom. In another case, a sweat collection article and method of collecting sweat from a person's skin using the sweat collection article are provided. The sweat collection article includes: a sweat collecting tube placed adjacent to the person's skin, and at least one piece of flexible material that has an adhesive that adheres the article to the person's skin and is positioned to overlie one end of the tube. In both cases, the second end of the sweat collecting tube is in fluid communication with an instrument such as a mass spectrometer that analyzes the sweat on a real-time basis. The systems and methods may further include a device for removing salt from the sweat that is arranged so that the sweat is transported to the device prior to being transported to the instrument for analyzing the sweat.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

Systems and methods to determine if an individual is impaired. The system includes a display and a stimulus on the display. The system include a controller that is programmed to move the stimulus about the display and one or more sensors that track eye movements and pupil size of a user due to movement of the stimulus or light conditions. The system includes a processor programmed to analyze the eye movements and pupil data size. The method includes using a testing apparatus and collecting data from the testing apparatus. The method includes storing the collected data. The method includes processing the data with an automated impairment decision engine to determine whether a test subject is impaired. The method may include using machine learning models or statistical analysis to determine whether a test subject is impaired. The automated impairment decision engine may be trained using machine learning and/or statistical analysis.

Methods, systems and apparatuses for determining oxygen toxicity in users is disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Time-varying index values may be determined based on the EDA data. The time-varying index values may be compared to a threshold to determine if one or more of the values satisfies the threshold. Satisfying the threshold may indicate oxygen toxicity is occurring within the user. A notification may be caused to occur based on the time-varying index value satisfying the threshold. The notification may cause the user to take actions to reduce the potential for further oxygen toxicity.

Various embodiments of a user-wearable device can comprise a frame configured to mount on a user. The device can include a display attached to the frame and configured to direct virtual images to an eye of the user. The device can also include a light source configured to provide polarized light to the eye of the user and that the polarized light is configured to reflect from the eye of the user. The device can further include a light analyzer configured to determine a polarization angle rotation of the reflected light from the eye of the user such that a glucose level of the user can be determined based at least in part on the polarization angle rotation of the reflected light.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.