Reliable Automated Needle Insertion System for Medical Application
Journal: LIFE: International Journal of Health and Life-Sciences (Vol.1, No. 1)Publication Date: 2015-01-01
Authors : F. Alves; D. Lagneux; F. Monin; J. Straub; T. Varela Santana;
Page : 38-47
Keywords : Robotic-Assisted Needle Insertion; Artificial Neural Network; Skin and Living Tissues Models;
Abstract
Many disorders occur annually as a result of poorly performed stings. This project is an attempt to develop a system that automates blood tests, serum injections and catheter placements, and to identify its basic limitations. Determining parameters are first identified. They include the coordinates of stinging point on the skin, the depth of blood vessel, its radius and the age of patient. The developed module performs the sting process based on the knowledge of these parameters. Automation is based on a neural network which correlates the data to determine insertion angle and needle geometry. Though the insertion process is adapted to patient profile, difficulties still remain concerning correct skin viscoelastic properties as proper input parameters. However, finer analysis of skin-needle system indicates the possibility of a secure and much easier automated sting in a large range of usual parameters with constant speed.
Other Latest Articles
- COMPETENCY OF SAFETY AND HEALTH COMMITTEES: CURRENT REALITIES AND THE WAY FORWARD
- The Influence of Nurses’ Work Environment and Patient-Centered Care Practices on Glycated Hemoglobin
- BRAND IDENTITY: INTRODUCING RENEWED CONCEPT FOR COFFEE SHOPS
- Efficacy of three mangrove plants against 5-lipoxygenase, acetylcholinesterase enzymes and five pathogenic bacterial strains
- BEHIND AID RELATIONS: HOW DEVELOPMENT INTERVENTIONS INFLUENCE PERCEPTIONS OF WOMEN BENEFICIARIES ON EMPOWERMENT (A CASE STUDY OF RCL PROJECT OF OXFAM IN SOUTH SULAWESI PROVINCE, INDONESIA)
Last modified: 2018-04-24 20:22:14