2014 Machine Control Finalist
Developing a Portable 3D Vision-Guided Medical Robot for Autonomous Venipuncture
Author: Alvin Chen and Max Balter, VascuLogic
Challenge: Developing a portable, image-guided, medical robot that autonomously performs blood draws and other IV procedures when medical professionals are unable to successfully access veins.
Solution: Combining the performance of NI CompactRIO hardware, the flexibility of NI LabVIEW system design software, and the extensive NI robotics and machine vision libraries to deliver a safe portable medical device for initial human testing.
To vote for this submission for the 2014 NI Engineering Impact Awards winner, "Like" this document. Click on the "Like" symbol in the bottom right corner of this window. To read the entire paper for this submission, download and view the PDF attachment on this document.
This is an innovative and very useful device which will significantly increase accuracy in injection/blood drawing and reduce personnel cost.
As a doctor working in ICU for more than 10 years, I believe this medical device will benefit the severely ill patients a lot.