Alvin Chen, Kevin Nikitczuk, Jason Nikitczuk, Tim Maguire, Martin Yarmush
{"title":"Portable robot for autonomous venipuncture using 3D near infrared image guidance.","authors":"Alvin Chen, Kevin Nikitczuk, Jason Nikitczuk, Tim Maguire, Martin Yarmush","doi":"10.1142/S2339547813500064","DOIUrl":null,"url":null,"abstract":"<p><p>Venipuncture is pivotal to a wide range of clinical interventions and is consequently the leading cause of medical injury in the U.S. Complications associated with venipuncture are exacerbated in difficult settings, where the rate of success depends heavily on the patient's physiology and the practitioner's experience. In this paper, we describe a device that improves the accuracy and safety of the procedure by autonomously establishing a peripheral line for blood draws and IV's. The device combines a near-infrared imaging system, computer vision software, and a robotically driven needle within a portable shell. The device operates by imaging and mapping in real-time the 3D spatial coordinates of subcutaneous veins in order to direct the needle into a designated vein. We demonstrate proof of concept by assessing imaging performance in humans and cannulation accuracy on an advanced phlebotomy training model.</p>","PeriodicalId":22332,"journal":{"name":"TECHNOLOGY","volume":"1 1","pages":"72-87"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/S2339547813500064","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2339547813500064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
Venipuncture is pivotal to a wide range of clinical interventions and is consequently the leading cause of medical injury in the U.S. Complications associated with venipuncture are exacerbated in difficult settings, where the rate of success depends heavily on the patient's physiology and the practitioner's experience. In this paper, we describe a device that improves the accuracy and safety of the procedure by autonomously establishing a peripheral line for blood draws and IV's. The device combines a near-infrared imaging system, computer vision software, and a robotically driven needle within a portable shell. The device operates by imaging and mapping in real-time the 3D spatial coordinates of subcutaneous veins in order to direct the needle into a designated vein. We demonstrate proof of concept by assessing imaging performance in humans and cannulation accuracy on an advanced phlebotomy training model.