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Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants
- 1st Edition - October 15, 2024
- Authors: Marvellous Moyo, Tawanda Mushiri
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 3 0 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 3 1 - 3
Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-p… Read more
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Request a sales quoteMoving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages—this adds a new dimension of research on medical device implants that can be a game changer for the AI medical implants industry. Researchers, engineers, and graduate students in the elds of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.
- Presents basic and advanced concepts in medical implants design
- Explores various uses of AI and engineering concepts in optimization and enhancement of medical devices
- Facilitates new approaches in improving patient safety and reliability of medical devices
Researchers, engineers, practitioners, and graduate students interested in research on future applications of AI and achieving sustainability in healthcare, drug delivery systems, and medical implants designs
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Chapter 1. Artificial intelligence and medical devices implants
- Abstract
- 1.1 Introduction
- 1.2 Medical implants powering mechanisms a concern in management of cardiovascular diseases
- 1.3 Problem statement
- 1.4 Aim
- 1.5 Objectives
- 1.6 Justification
- 1.7 Related studies
- 1.8 Conclusion
- References
- Chapter 2. Trends in pacemaker technology: a literature survey
- Abstract
- 2.1 Introduction
- 2.2 Pacemaker evolution
- 2.3 Pacemakers types
- 2.4 Anatomy and function of a cardiac pacemaker
- 2.5 Implantable cardioverter defibrillators (ICDs)
- 2.6 Leadless pacemaker: addressing drawbacks of leads
- 2.7 Cardiac resynchronization and heart failure
- 2.8 Electrical framework of the heart
- 2.9 Conduction framework diseases treatable by a pacemaker
- 2.10 Insertion of a pacemaker
- 2.11 Living with a pacemaker
- 2.12 Early diagnosis and monitoring of pacemakers
- 2.13 Future of cardiac pacemakers
- 2.14 Conclusion
- References
- Chapter 3. Power technologies of cardiac pacemakers
- Abstract
- 3.1 Introduction
- 3.2 Energy requirements of implantable medical devices and existing problems
- 3.3 Implantable medical devices powering techniques
- 3.4 Latest applications of power technologies for implantable medical devices
- 3.5 Discussions
- 3.6 Safety rules and principles in cardiac pacing
- 3.7 Conclusion
- References
- Chapter 4. Materials and modeling of an artificial intelligent charging system for a cardiac pacemaker
- Abstract
- 4.1 Introduction
- 4.2 Computer aided design implementation and its benefits
- 4.3 Medical device material selection process
- 4.4 Criteria for medical device material selection
- 4.5 Nanoporous membranes and medical devices
- 4.6 Titanium and its alloys as biomaterials
- 4.7 Methodology overview
- 4.8 Possible solutions
- 4.9 Concept selection
- 4.10 Description of the suggested mechanism's model in detail
- 4.11 Design technical specifications
- 4.12 Conclusion
- References
- Chapter 5. Modeling of an in vivo electrochemical biosensor
- Abstract
- 5.1 Introduction
- 5.2 Motivation
- 5.3 Background electrochemical biosensors and material consideration
- 5.4 Literature survey
- 5.5 Materials and methods
- 5.6 Results
- 5.7 Discussion
- 5.8 Solutions to in vivo biosensing problems
- 5.9 Way forward: multiplexing in vivo electrochemical biosensors
- 5.10 Conclusion
- References
- Chapter 6. Cardiovascular disease prediction using machine learning models and ensemble technique
- Abstract
- 6.1 Introduction
- 6.2 Literature survey
- 6.3 Materials and methods
- 6.4 Results
- 6.5 Discussion
- 6.6 Conclusion
- References
- Chapter 7. Improved disease prediction using deep learning
- Abstract
- 7.1 Introduction
- 7.2 Artificial neural network in healthcare applications
- 7.3 Literature survey
- 7.4 Materials and methods
- 7.5 Results
- 7.6 Discussion
- 7.7 A new approach to handling deep learning defects
- 7.8 Related future studies
- 7.9 Conclusion
- References
- Chapter 8. Boosting P6 medicine and its ethical considerations
- Abstract
- 8.1 Introduction
- 8.2 P6 medicine overview
- 8.3 Six Ps of P6 medicine
- 8.4 Advancing P6 medicine using an AI charging system for medical implants
- 8.5 Ethical considerations of P6 medicine
- 8.6 AI charging system for medical implants as a tool for boosting P6 medicine: ethical impacts and considerations
- 8.7 Way forward: future of advanced P6 medicine
- 8.8 Conclusion
- References
- Chapter 9. Development and validation of a biomodified fuel cell using MATLAB
- Abstract
- 9.1 Introduction
- 9.2 Literature survey
- 9.3 Heat flow in a modified fuel cell
- 9.4 Biomedical modified fuel cell thermodynamics
- 9.5 Modeling a biomodified fuel cell
- 9.6 Biomodified fuel cell modeling in MATLAB
- 9.7 Results
- 9.8 Discussions
- 9.9 Conclusion
- References
- Chapter 10. In vivo thermoelectrical generator design for medical implants applications
- Abstract
- 10.1 Introduction
- 10.2 Anatomy of thermoelectric generators
- 10.3 Factors influencing thermoelectric generator performance
- 10.4 Working principle of thermoelectric generators
- 10.5 Literature survey
- 10.6 Materials and methods
- 10.7 Results and discussions
- 10.8 Conclusion
- References
- Chapter 11. Alternative road to commercialization of medical implants designs: a case for a new AI pacemaker
- Abstract
- 11.1 Introduction
- 11.2 Literature review
- 11.3 Materials and methods
- 11.4 Results
- 11.5 Discussion
- 11.6 Improved time to commercialization of medical devices using solid works simulation
- 11.7 Conclusion
- References
- Chapter 12. Risk assessment of an AI charging system for medical implants
- Abstract
- 12.1 Introduction
- 12.2 Importance of medical implant device risk assessment
- 12.3 Medical devices safety and security
- 12.4 Risk assessment focus area
- 12.5 Materials and methods
- 12.6 Results
- 12.7 Discussions
- 12.8 AI potential in medical device risk assessment: ensuring safety and reducing failure
- 12.9 Recommendations and conclusions
- References
- Chapter 13. Life cycle, economic, and viability analysis of an AI charging system for medical implants
- Abstract
- 13.1 Introduction
- 13.2 Literature review
- 13.3 Materials and methods
- 13.4 Results
- 13.5 Discussion
- 13.6 Conclusions
- References
- Chapter 14. Future and way forward of an AI charging system for medical battery powered implants
- Abstract
- 14.1 Introduction
- 14.2 Recommendations
- 14.3 Conclusion
- References
- Index
- No. of pages: 420
- Language: English
- Edition: 1
- Published: October 15, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443248306
- eBook ISBN: 9780443248313
MM
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 NetherlandsTM
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
Scientific and Industrial Research and Development Centre (SIRDC), Harare, ZimbabweRead Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants on ScienceDirect