Intelligent positioning method for puncture points of intravenous indwelling needle puncture based on deep learning
JIA Haijing
GUO Keyou
Abstract：To design a set of intelligent positioning method for intravenous needle puncture point based on deep learning algorithm, and then achieve intelligent puncture.An automatic detection model of blood vessels in the ultrasound image based on deep learning al-gorithm Faster RCNN was trained,the detection model of the network architecture and non-maximum suppression parameters was optimized,vascular detector's AP was 0.896.Based on the priori knowledge of the puncturing target vessel located on the puncture line,the puncturing target vessel was determined.Depending on the physical location of the target vessel and the puncture angle of the indwelling needle,the physical location of the puncturing point on the skin surface of the patient and the puncture distance of the in-dwelling needle were computed,and then the robot arm drived indwelling needle automatic puncture.Above program has been valida-ted in the body membrane.
Keywords：Intravenous indwelling needleIntelligent positioningFaster RCNNNon-maximal suppressionPuncture midline
Publication Date：2018-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 91-95 )