Healthcare Systems Design of Intelligent Testing Centers
Latest Technologies to Battle Pandemics such as Covid-19
- 1st Edition - January 23, 2023
- Imprint: Academic Press
- Authors: Tawanda Mushiri, Marvellous Moyo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 4 4 3 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 0 9 6 - 1
Healthcare Systems Design of Intelligent Testing Centers: Latest Technologies to Battle Pandemics such as Covid-19 highlights the importance of designing intelligent testing center… Read more
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Request a sales quoteHealthcare 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.
- Demonstrates how to design an intelligent healthcare testing center from scratch
- Presents the basics of AI and robotics technology in healthcare testing
- Covers technical-economic evaluation of robotic systems, which is crucial for decision-makers in the field
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
Computer Science professionals; electricians, mechanical fitters, instrument technicians who help Engineers construct the designs
- Cover image
- Title page
- Table of Contents
- Copyright
- Chapter 1: Introduction to artificial intelligence and robotics in healthcare systems
- Abstract
- 1.1: Introduction
- 1.2: Background
- 1.3: Motivation
- 1.4: Problem statement
- 1.5: Aim
- 1.6: Objectives
- 1.7: Justification
- 1.8: Related studies
- 1.9: MIT COVID-19 testing trailer
- 1.10: Conclusion
- References
- Chapter 2: Uses of artificial intelligence and robotics in healthcare systems
- Abstract
- 2.1: Introduction
- 2.2: Robotic manipulator parts and components
- 2.3: Medical robot's manipulator configurations
- 2.4: End effector design
- 2.5: Artificial intelligence and robotics in the medical field
- 2.6: Steps in design and development of robots
- 2.7: Power supply of robots
- 2.8: Degree of autonomy of robots
- 2.9: Actuators used in robotics
- 2.10: Sensors used in medical robots
- 2.11: Conclusion
- References
- Chapter 3: Robotic manipulator components’ description: Materials and methods
- Abstract
- 3.1: Introduction
- 3.2: Materials and methods
- 3.3: Possible solutions
- 3.4: Concept selection
- 3.5: Drawing description
- 3.6: Technical specifications
- 3.7: Conclusion
- Chapter 4: COVID-19 effects and current testing techniques used in hospitals: Healthcare workers’ perspectives
- Abstract
- 4.1: Introduction and background
- 4.2: COVID-19: The global health emergency
- 4.3: COVID-19 testing techniques
- 4.4: Materials and methods
- 4.5: Results
- 4.6: Discussion
- 4.7: Conclusion
- References
- Further reading
- Chapter 5: Development of an intelligent specimen testing booth to reduce healthcare professionals’ infection risks
- Abstract
- 5.1: Introduction
- 5.2: Literature review
- 5.3: Methods and materials
- 5.4: Results and discussion
- 5.5: Recommendations and conclusion
- References
- Chapter 6: Using robotics, artificial intelligence, and deep learning to collect COVID-19 samples
- Abstract
- 6.1: Introduction to artificial intelligence (AI)
- 6.2: An introduction to deep learning
- 6.3: Literature review
- 6.4: Materials and methods
- 6.5: Results
- 6.6: Discussion
- 6.7: Programming examples
- 6.8: Conclusion
- References
- Further reading
- Chapter 7: Validation of the kinematics and dynamics models of a robotic manipulator using the MATLAB robotics toolbox
- Abstract
- 7.1: Introduction and background
- 7.2: Literature review
- 7.3: Materials and methods
- 7.4: Results and discussion
- 7.5: Programming examples
- 7.6: Recommendations and conclusion
- References
- Further reading
- Chapter 8: Design optimization of a medical robotic manipulator for testing COVID-19 virus using finite element analysis
- Abstract
- 8.1: Introduction
- 8.2: Literature review
- 8.3: Materials and methods
- 8.4: Results
- 8.5: Discussion
- 8.6: Conclusion
- References
- Further reading
- Chapter 9: Life cycle analysis of medical robotic manipulators
- Abstract
- 9.1: Introduction
- 9.2: Literature review
- 9.3: Materials and methods
- 9.4: Results
- 9.5: Discussion
- 9.6: Conclusions
- References
- Chapter 10: Future of intelligent robots for testing specimens
- Abstract
- 10.1: Introduction
- 10.2: Limitations and the way forward
- 10.3: Future work
- 10.4: Conclusion
- References
- Appendix A: COVID-19 testing survey questionnaire
- Appendix B: Motor sizes
- Appendix C: Engineering drawings
- Index
- Edition: 1
- Published: January 23, 2023
- No. of pages (Paperback): 250
- No. of pages (eBook): 250
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323994439
- eBook ISBN: 9780323950961
TM
Tawanda Mushiri
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.
Affiliations and expertise
Executive Director—Technical (ED-Tech), Scientific and Industrial Research and Development Centre (SIRDC), Harare, ZimbabweMM
Marvellous Moyo
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.
Affiliations and expertise
University of Twente, Enschede, The NetherlandsRead Healthcare Systems Design of Intelligent Testing Centers on ScienceDirect