Abstract:
Medical testing of laboratory, that mainly utilizes venous blood sample, is among the most frequent methods for diagnosis. This necessitates an intrusive procedure, including cannulation, which necessitates careful vein selection. A vein finder would make it easier for the phlebotomist to identify the vein, reducing the risk of a preanalytical mistake in the collection of specimen & causing the patient even more agony & suffering. Vein detection is among the most cutting-edge biomedical methods currently being investigated. While the method's idea is basic, there are several difficulties to overcome in the design & execution of a device that includes a lighting system & algorithms for image processing at a cheap cost. While just a few infrared-based medical devices have been deployed, there still is a great demand to create such devices. Doctors now confront a significant challenge in gaining access to veins for intravenous medication administration. Bruises, rashes, blood clots, and other complications may result from incorrect vein identification. As a result, a subcutaneous, non-invasive vein identification system depending near infrared imaging & attached with a laptop has been successfully created. The vein pictures are captured using a specialized camera, and the processing is done using Computer Vision. The specifics of the pilot research are also included in this article. Varicose veins, deep vein thrombosis, & vascular diseases may all be treated with this. The study focuses on two important features of this device: portability & cheap cost.
