Healthcare Systems Design of Intelligent Testing Centers
Latest Technologies to Battle Pandemics such as Covid-19
Published on 25. January 2023
Book
Paperback/Softback
250 pages
978-0-323-99443-9 (ISBN)
Description
Healthcare Systems Design of Intelligent Testing Centers: Latest Technologies to Battle Pandemics such as Covid-19 highlights the importance of designing intelligent testing centers requiring no human intervention during sample collection and testing of the Covid-19 virus and all similar viruses. This book introduces the background, medical requirements, and new research on medical robotics applications, including general Covid-19 testing techniques, development considerations for intelligent testing booths, kinematic and dynamic modeling, design specifications and optimization, numerical verifications, actuators, and sensors in medical applications of artificial intelligence and robotics systems.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Graduate students in Engineering, and Computer Science
Researchers or engineers working in robotics application domains.
Practitioners in robotics application domains.
Biomedical Engineers working in the medical device industry
Computer Science professionals; electricians, mechanical fitters, instrument technicians who help Engineers construct the designs
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 13 mm
Weight
343 gr
ISBN-13
978-0-323-99443-9 (9780323994439)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Tawanda Mushiri | Marvellous Moyo M. Sc.
Healthcare Systems Design of Intelligent Testing Centers
Latest Technologies to Battle Pandemics such as Covid-19
E-Book
01/2023
Academic Press
€131.00
Available for download
Persons
Tawanda Mushiri is an Executive Director-Technical (ED-Tech) at the Scienti? c and Industrial Research and Development Centre (SIRDC) in, Harare, Zimbabwe and a Senior Research Associate in the Department of Sport and Movement Studies, Biomedical Engineering and Healthcare Technology (BEAHT) Research Centre, Faculty of Health Sciences, University of Johannesburg, South Africa. His research interests are in AI, robotics, biomedical engineering, medical physics, and healthcare systems design. He is a member of both the Zimbabwe Institute of Engineers and the Engineering Council of Zimbabwe. Marvellous Moyo is a PhD candidate in the Department of Biomedical Engineering at the University of Twente, Enscede, the Netherlands. He possesses advanced skills in engineering design, 3D modeling, and simulation and specializes in the ? elds of robotics, AI, Health 4.0, biomedical engineering, and renewable energy.
Content
1. Introduction
2. Uses of artificial intelligence and robotics in healthcare systems
3. Robotic manipulator components description
4. A study of current covid-19 testing techniques in hospitals
5. Design of an intelligent covid-19 testing centre
6. Using robotics, artificial intelligence and deep learning to collect covid-19 samples
7. Validation of the kinematics and dynamics models of a robotic manipulator using the robotics-toolbox
8. Design optimisation of a medical robotic manipulator using finite element analysis
9. Economic analysis of the robotic testing machine
2. Uses of artificial intelligence and robotics in healthcare systems
3. Robotic manipulator components description
4. A study of current covid-19 testing techniques in hospitals
5. Design of an intelligent covid-19 testing centre
6. Using robotics, artificial intelligence and deep learning to collect covid-19 samples
7. Validation of the kinematics and dynamics models of a robotic manipulator using the robotics-toolbox
8. Design optimisation of a medical robotic manipulator using finite element analysis
9. Economic analysis of the robotic testing machine