Disclosed are a non-contact fatigue detection method and system. The method comprises: sending a millimeter-wave (mmWave) radar signal to a person being detected, receiving an echo signal reflected from the person, and determining a time-frequency domain feature, a non-linear feature and a time-series feature of a vital sign signal; acquiring a facial video image of the person, and performing facial detection and alignment on the basis of the facial video image, for extracting a time domain feature and a spatial domain feature of the person's face; fusing the determined vital sign signal with the time domain feature and the spatial domain feature of the person's face, for obtaining a fused feature; inputting the fused feature into a classifier to perform fatigue state recognition of said person, and determining whether the person is in a fatigued state by the fused feature. By fusing the two detection techniques, the method effectively suppressing the interference of subjective and objective factors, and improving the accuracy of fatigue detection.

Systems and methods to determine an indication of patient compliance or patient condition using received physical activity or temperature information are disclosed, including detecting physical activity of the patient, determining indications of patient compliance and patient condition using the detected physical activity, and providing the determined indications of patient compliance and patient condition to a user or process.

A model was developed to predict vital-signs of hemorrhage patients and optimize the management of fluid resuscitation in mass casualties. In at least one embodiment, the model uses a limited data stream (the initial 10 minutes of vital-sign monitoring) to predict at an individual (personalized) level the outcomes of different fluid resuscitation allocations 60 minutes into the future. The predicted outcomes were then used to select the optimal resuscitation allocation for various simulated mass-casualty scenarios. The theoretical benefits of this approach included up to 46% additional casualties restored to healthy vital signs and a 119% increase in fluid-utilization efficiency. The greatest benefit of this technology lies in its ability to provide personalized interventions that optimize clinical outcomes under resource-limited conditions, such as in civilian or military mass-casualty events, involving moderate and severe hemorrhage.

Systems and methods to determine an indication of patient compliance to a prescribed treatment are disclosed, including receive temperature information from a first temperature sensor in a housing of a self-contained monitoring device and from a second temperature sensor located outside of the housing of the self-contained monitoring device, receiving an indication of a prescribed treatment, and determining an indication of patient compliance to the prescribed treatment using the received temperature information occurring over a first period.

A wearable or implantable microchip system for discerning death of a human or animal and the location of the body, and providing timely notice to designated, remotely located parties.

A computer-implemented method comprises providing images and attributes of a damaged vehicle that has been damaged in a collision event to a trained computer vision machine learning model, which in response provides a predicted severity class indicating a severity of the physical damage sustained by the damaged vehicle during the collision event; providing the predicted severity class, damaged vehicle physical damage claim data related to the damaged vehicle and the collision event, and bodily injury claim data related to an occupant of the damaged vehicle during the collision event to a trained regression machine learning model, which in response provides a predicted frequency and/or duration of medical treatments to treat bodily injury sustained by the occupant during the collision event; and providing the predicted frequency and/or duration of medical treatments to an analyst for use in evaluating a bodily injury claim related to the occupant.

A smart animal bed system includes a base supporting a padded animal bed; a movement sensor for providing movement sensor signals in response to movement of an animal within the padded animal bed; and a temperature control system having a heating mode and a cooling mode, the temperature control system configured to selectively provide heating or cooling to the padded animal bed based at least in part on the movement sensor signals.