A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.

It is provided a wearable device for determining when a user has fallen down. The wearable device comprises: a first biometric sensor for obtaining first biometric data of the user, wherein the first biometric sensor is a first accelerometer configured to measure acceleration of a part of a first limb of the user; a second biometric sensor for obtaining second biometric data of the user comprising a finger pressure parameter; and a third biometric sensor for obtaining third biometric data, the third biometric sensor being a second accelerometer configured to measure acceleration of a body part of the user being distinct from the first limb. The wearable device is configured to determine an identity of the user is based on the first biometric data, the second biometric data and the third biometric data, the identity being used to control access to a physical space, and to determine when the user has fallen down.

Disclosed are methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

Methods and systems for capturing capnography data during high-flow oxygen therapy (HFOT) are disclosed. An example method includes delivering HFOT by delivering breathing gases at an operational flow rate and an operational oxygen concentration level; initiating a temporary flow-reduction function for a set duration, wherein breathing gases are delivered at a temporary flow rate for the set duration, the temporary flow rate being less than the operational flow rate; capturing capnography data for exhaled air during the set duration; and upon expiration of the set duration, resuming HFOT delivery.

Systems and methods for generating MRI images of the lungs and/or airways of a subject using a medical grade gas mixture comprises between about 20-79% inert perfluorinated gas and oxygen gas. The images are generated using acquired .sup.19F magnetic resonance image (MRI) signal data associated with the perfluorinated gas and oxygen mixture.

Devices, methods and systems are disclosed for assisting patients in behavioral modification and cessation programs aimed at terminating undesired behaviors such as smoking, alcohol use and others. Patient devices configured to be easily carried or worn including test units such as carbon monoxide blood level sensors with automated patient prompting for self-testing, analysis of test results and data logging are included in a networked system with a specifically designed treatment modality. Devices and methods disclosed are particularly suited to use in smoking cessation treatment and programs.

A method of controlling a gas delivery apparatus including an apparatus controllable variable using an iterative algorithm to deliver a test gas (TG) for non-invasively determining a subject's pulmonary blood flow comprising iteratively generating and evaluating test values of a iterated variable based on an iterative algorithm in order output a test value of the iterated variable that meets a test criterion wherein iterative algorithm is characterized in that it defines a test mathematical relationship between the at least one apparatus controllable variable, the iterated variable and an end tidal concentration of test gas attained by setting the apparatus controllable variable, such that the iterative algorithm is determinative of whether iteration on the test value satisfies a test criterion or iteratively generates a progressively refined test value.

In a method for operating a respiratory gas analysis device with at least one gas sensor, once a respiratory gas analysis has been carried out, the gas sensor is heated to a temperature that lies above a predefinable temperature threshold value.

The present disclosure provides methods and devices for early diagnosis of an infection, for example by the COVID-19 virus, and determining a course of action for treatment of the infection.

Aspects relate to apparatuses and methods for individualized polygraph testing. The apparatus including at least an interface configured to communicate questions to the user, at least a sensor configured to detect biofeedback signals as a function of a biofeedback of a user, wherein the biofeedback is associated with at least an answer to at least a question, and at least a computing device including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive the biofeedback signals, generate a user state classifier, train the user state classifier as a function of a user state training set, wherein the user state training set includes biofeedback signals correlated to answers of known veracity, and classifying a biofeedback signal of the biofeedback signals to a user state as a function of the user state classifier.