1 results about "Blood volume pulse" patented technology

A high intraocular pressure discrimination method based on eye video dynamic fusion double-branch complementary features belongs to the technical field of physiological signal detection, and the method comprises the following steps: firstly, collecting eye videos and synchronously acquiring intraocular pressure labels to construct a training data set; secondly, using a trained semantic segmentation model to respectively segment the iris-pupil region and the sclera region from the eye video frames, and extracting the RGB time sequence signals of each region; thirdly, further extracting the blood volume pulse (BVP) signals from the two RGB signals respectively, segmenting by using a sliding window and converting into a two-dimensional space-time feature map; and finally, constructing and training a high intraocular pressure discrimination model DB-CFFNet, which respectively inputs the two space-time feature maps, realizes the classification and discrimination of the intraocular pressure state through double-branch feature extraction and fusion. The method realizes low-cost and continuous dynamic intraocular pressure state monitoring based on a common camera.