Smart Devices for Medical 4.0 Technologies
CRC Press (Verlag)
978-1-032-60962-1 (ISBN)
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Features:
Focuses on real-time implementation of deep and machine learning techniques as well as novel algorithms for smart healthcare.
Explores innovative challenges and solutions to complex problems in assistive devices with Medical 4.0 technologies.
Presents an overview of challenges in the design of medical wearable devices.
Discusses different techniques on VLSI for medical devices.
Includes a case study on an AI-tuned cardiac pacemaker.
This book is aimed at graduate students and researchers in biomedical, electrical, and computer engineering and medical technologies.
Manisha Guduri is currently a visiting scholar at the University of Louisiana at Lafayette, USA. She is the author/ coauthor of more than 52 research papers in reputed journals, book chapters, and international conferences. Her research interests include Artificial Intelligence, Biomedical Applications and VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She has published five patents, two of which are under FER. She received one patent grant, and is a reviewer for IEEE TVLSI, Microelectronics Journal, IET Digital Circuits, IEEE Journal of Biomedical and Health Informatics and other journals. She has one ongoing funded project from the Department of Science and Technology. Chinmay Chakraborty, PhD, SMIEEE, MACM is an Assistant Professor at Birla Institute of Technology, Mesra, India. He completed a Post-Doctoral fellow at the Federal University of Piauí, Brazil. He worked as a Senior Lecturer at the ICFAI University, Tripura, India. He worked as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He worked as a Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. He also worked as a Network Engineer in System Administration at MISPL, India. His main research interests include the Internet of Medical Things (IoMT), AI/ML, Communication & Computing, Telemedicine, m-Health/e-health, and Medical Imaging. Martin Margala, PhD, joined the School of Computing and Informatics as Professor and Director in August 2021. Before joining UL Lafayette, from September 2011 to July 2021, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell and a Co-Director of the Center for Smart Cyber-Physical Systems (SCyPS). He received his PhD degree in Electrical and Computer Engineering from the University of Alberta, Canada (#61 in Global Ranking in North America region; #13 in Global subject specific ranking Electrical and Electronic Engineering in North America region USNews) in the spring of 1998.
1. Secured Smart Devices for Medical 4.0 Technologies: Threats and Approaches 2. Low-Cost Versatile Remote Healthcare Monitoring of Bedridden Patients 3. Transfer Learning and Domain-Specific Adoption Algorithms for Image Classification 4. Artificial Intelligence and Internet of Things Mechanism for Smart Healthcare 4.0 5. Significance of Quality Attributes of IoT Based Smart Devices in Healthcare Monitoring Systems: Leading Towards Success or Failure 6. Smart Paralysis Revolution: BCI Virtual Keyboards Unleashed in Healthcare 7. Hardware Enhanced Secure Data Forwarding Protocol for Optimized Throughput in Wireless Body Area Networks 8. HealthCoin: Solidity-Backed Blockchain Ventures in Smart Healthcare Technologies 9. AI-Driven Smart Healthcare System for Monitoring Drought and Analysing Climate Change: Impacts in Healthcare for Medical 4.0 10. Fortifying Healthcare Cybersecurity: A Sturdiness-Based Approach to Threat Modelling and Risk Analysis
| Erscheint lt. Verlag | 15.4.2025 |
|---|---|
| Reihe/Serie | Advances in Smart Healthcare Technologies |
| Zusatzinfo | 10 Tables, black and white; 36 Line drawings, black and white; 30 Halftones, black and white; 66 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Medizintechnik | |
| ISBN-10 | 1-032-60962-1 / 1032609621 |
| ISBN-13 | 978-1-032-60962-1 / 9781032609621 |
| Zustand | Neuware |
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