生物医学工程研究2018，Vol.37Issue(1)：91-95,5.DOI:10.19529/j.cnki.1672-6278.2018.01.19
基于深度学习的静脉留置针穿刺点智能定位方法
Intelligent positioning method for puncture points of intravenous indwelling needle puncture based on deep learning
摘要
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.关键词
静脉留置针/智能定位/FasterRCNN/非极大值抑制/穿刺中分线Key words
Intravenous indwelling needle/Intelligent positioning/Faster RCNN/Non-maximal suppression/Puncture midline分类
医药卫生引用本文复制引用
贾海晶,郭克友..基于深度学习的静脉留置针穿刺点智能定位方法[J].生物医学工程研究,2018,37(1):91-95,5.基金项目
军事医学科学院附属医院创新基金课题(ZH-2014-07) （ZH-2014-07）
北京工商大学2017年研究生科研能力提升计划项目资助. （）
