Among other things, techniques are described for screening and monitoring the health of a vehicle user including receiving sensor data produced by a sensor at the vehicle, processing the sensor data to determine at least one health condition of the user of the vehicle, and in response to determining the at least one health condition, executing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition.

Device, system and method, for simplicity called Big Data 911™, which continuously sends GPS and other data to the cloud for storage and analysis, and Big Data automatically detects a vehicle crash and/or other emergency and immediately automatically calls 911 with crash information comprising the location, severity of the crash, etc. Victims, with their relevant medical records, are identified using onboard cameras and sensors or with medical information voluntarily linked via a phone app to the cloud. This medical data and GPS location ensures the optimum medical response during the crucial Golden Hour after the accident and that EMTs (Emergency Medical Technicians), police and other responders provide the optical medical treatment both en route to the hospital and once there. This includes AI or statistical information to expedite the ideal medical solution of the victim. This system could be used nationally or internationally as a person travels worldwide.

The present disclosure provides methods of improving structure of a face in a patient, more particularly by classifying the facial shape in order to allow the design of a specific treatment plan directed to each type of face shape.

Techniques for cognitive analysis for directed control transfer with autonomous vehicles are described. In-vehicle sensors are used to collect cognitive state data for an individual within a vehicle which has an autonomous mode of operation. The cognitive state data includes infrared, facial, audio, or biosensor data. One or more processors analyze the cognitive state data collected from the individual to produce cognitive state information. The cognitive state information includes a subset or summary of cognitive state data, or an analysis of the cognitive state data. The individual is scored based on the cognitive state information to produce a cognitive scoring metric. A state of operation is determined for the vehicle. A condition of the individual is evaluated based on the cognitive scoring metric. Control is transferred between the vehicle and the individual based on the state of operation of the vehicle and the condition of the individual.

To participate in a health incentive program, a customer of a health-related business such as a health insurance company or medical group entity may use a physiological measurement device to report health-related activity to the business. However, a customer may report fraudulent activity to the business by allowing another party to use the physiological measurement device. In embodiments, an electronic device, a collection and validation server, and a physiological measurement device may execute methods to ensure that the user of the physiological measurement device has identified themselves properly to the business. In embodiments, the electronic device and the physiological measurement device may produce sets of physiological measurement data that are compared to determine that a user of the electronic device is the same as the user of the physiological measurement device. The electronic device may produce a set of physiological measurement data using video and image processing techniques.

The present invention relates to an X-ray imaging system (10). The X-ray imaging system comprises an optical camera (20), an X-ray imaging device (30), a processing unit (40), and an output unit (50). The optical camera is configured to acquire an optical image of a body part (BP) of a patient or an optical image of the head of the patient. The X-ray imaging device is configured to acquire an X-ray image of the body part of the patient. The processing unit is configured to determine an orientation of the body part, the determination comprising utilization of the optical image of the body part or utilization of the optical image of the head of the patient. The processing unit is configured to annotate the X-ray image of the body part with the orientation. The output unit is configured to output the orientation annotated X-ray image.

Methods and systems are provided for adjusting settings of an ultrasound exam based on monitoring of the exam with an optical camera. One example method includes acquiring images of an ultrasound exam via a camera, analyzing the acquired images in real-time to build a spatial exam model, and adjusting settings of the ultrasound exam in real-time based on the spatial exam model.

System and method for capturing a movement sequence of a person. The method comprises capturing a plurality of images of the person executing a movement sequence by means of a contactless sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated. In addition, vital signs and/or signal processing parameters of the person can be acquired and evaluated.

The invention relates to a processing unit, a system, and a computer-implemented method for a vehicle interior, for detecting and reacting to odors of a vehicle occupant.

The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.