Multipoint pulse signals detection system based on monocular vision

A monocular vision detection system was designed for multipoint pulse signals detection. The system consists of three parts. The first is pulse image acquisition device, which is used to collect dynamic pulse images. The second is multipoint pulse signals extraction algorithm that is using suitable digital image processing methods to process the collected pulse image sequence, and adopting monocular vision theory to extract multipoint pulse waves. And the last part is Graphical User Interface, which integrates image acquisition, image processing, signal processing and results display in a user interface for easy operation. Experimental results show that the designed detection system can capture pulse images at the frame rate of 30 frames per second, and can effectively extract multipoint pulse signals, besides, all of the operations can be easily performed on the Graphical User Interface.

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