Affiliation:
1. Department of Human Intelligence and Robot Engineering Sangmyung University Cheonan South Korea
Abstract
AbstractThe medical robot systems have the effect of reducing the work load and preventing accidents by supporting task that are difficult for inexperienced medical practitioners. Recently, research on automated blood collection and injection robotic system has been increasing, but work is still necessary such as replacing needle tips, setting tourniquet, and fixing the patient's arm. This letter proposes an intelligent intravenous injection robot without having to see the medical workers face‐to‐face. A revolving system is designed for automatic needle replacement and an arm holder for vessel fixation. Finally, positioning the needle at the target point is experimented by position control based on mathematical modelling and velocity kinematics.
Publisher
Institution of Engineering and Technology (IET)
Cited by
1 articles.
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1. A Medical Sample Collection Robot Based on Improved YOLO Algorithm;Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence;2024-05-17