Healthcare Systems Design of Intelligent Testing Centers

Latest Technologies to Battle Pandemics such as Covid-19
Erscheinungsjahr 2023
ISBN: 978-0-323-99443-9
Verlag: Elsevier Science & Technology

Buch, Englisch, 264 Seiten, Format (B × H): 229 mm x 151 mm, Gewicht: 416 g

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.

Zielgruppe

<p>Graduate students in Engineering, and Computer Science </p> <p>Researchers or engineers working in robotics application domains.</p> <p>Practitioners in robotics application domains.</p> <p>Biomedical Engineers working in the medical device industry</p> <p>Computer Science professionals; electricians, mechanical fitters, instrument technicians who help Engineers construct the designs</p>

Autoren/Hrsg.

Moyo, Marvellous

Mushiri, Tawanda

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

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

Über Autor(innen)

Mushiri, Tawanda
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.

Moyo, Marvellous
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.