Smartphone software-based measurement of cyanosis and capillary refill time
Abstract:
A system for measuring blood oxygenation levels and capillary refill time (CRT) of a user includes a camera configured to capture a video stream that includes a series of images representing a process of first squeezing a fingernail of the user to a blanched state, and then releasing to a resting state, and a Convolutional Neural Network (CNN) based processing unit configured to process an input image to create a two-dimensional representation of features, remove spatial relationships in the two-dimensional representation, generate non-spatial metadata, identify the fingernail in the resting state, and regions within a static image of the fingernail, and configured to generate a blood oxygenation value, and a measurement confidence level, and generate a CRT value of the user by applying the blood oxygenation value, and the measurement confidence level to a series of images captured by the camera over time.
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