Using drones to obtain vital signs during mass-casualty incidents can be extremely helpful for first responders.Thanks to technological advancements, vital parameters can now be remotely assessed rapidly and robustly.This motivates the development of an automated unmanned aerial system (UAS) for patient mckenzie seeds online code triage, combining methods for the automated detection of respiratory-related movements and automatic classification of body movements and body poses with an already published algorithm for drone-based heart rate 15-eg1053cl estimation.A novel UAS-based triage algorithm using UAS-assessed vital parameters is proposed alongside a robust UAS-based respiratory rate assessment and pose classification algorithm.
A pilot concept study involving 15 subjects and 30 vital sign measurements under outdoor conditions shows that with our approach, an overall triage classification accuracy of 89% and an F1 score of 0.94 can be achieved, demonstrating its basic feasibility.