Cantitate/Preț
Produs
Total produse
Vezi coșul
Health 5.0: Concepts, Challenges, and Solutions de Hiren Kumar Thakkar

Health 5.0: Concepts, Challenges, and Solutions: Prospects in Smart Technologies

Editat de Hiren Kumar Thakkar, Chintan Bhatt, Victor C. M. Leung, Ilangko Balasingham
en Limba Engleză Hardback – 15 mai 2025

Remarcăm faptul că Health 5.0 depășește sfera documentației tehnice convenționale prin propunerea unor arhitecturi de sistem aplicabile direct în mediul clinic. Spre deosebire de manualele care tratează digitalizarea sănătății la nivel pur teoretic, acest volum, publicat de CRC Press, oferă soluții concrete pentru tranziția de la Healthcare 4.0 la 5.0, punând accent pe precizie și diagnostic automatizat la distanță. Dacă IoMT Applications in Healthcare 5.0 de Bitan Misra v-a oferit cadrul teoretic al transformării digitale, această carte oferă instrumentele practice necesare prin cele 170 de ilustrații care detaliază scheme de implementare pentru Internetul Lucrurilor Medicale (IoMT).

Structura volumului este riguros organizată în patru părți, facilitând o progresie logică de la fundamentele istorice ale tehnologiilor medicale către sisteme inteligente complexe. Partea a II-a și a III-a sunt esențiale pentru ingineri, acoperind generarea, stocarea și procesarea datelor în „edge computing”, precum și utilizarea inteligenței artificiale în cadrul Realității Augmentate. Merită menționat că editorii aduc în discuție și concepte avansate de „federated learning” în arhitecturile cloud, asigurând un echilibru între performanță și confidențialitatea datelor.

Această lucrare se poziționează ca o continuare tehnică a preocupărilor editorilor vizibile în Predictive Data Security using AI, extinzând analiza de la securitatea generală a datelor la aplicații medicale specifice, precum detectarea modelelor în timp real bazată pe simptome. Recomandăm acest volum pentru rigoarea cu care tratează integrarea Big Data și a instrumentației terapeutice avansate, elemente vitale pentru dezvoltarea orașelor inteligente și a asistenței medicale sustenabile.

Citește tot Restrânge

Din seria Prospects in Smart Technologies

  • Emerging Technologies for Sustainable and Smart Energy
    Preț: 40975 lei
  • 15% Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges
    Preț: 41758 lei
  • CYBORG: Human and Machine Communication Paradigm
    Preț: 44562 lei
  • 20% Immersive Technologies: Navigating the Impacts, Challenges, and Opportunities
    Preț: 124904 lei
  • 15% WSN and IoT: An Integrated Approach for Smart Applications
    Preț: 46130 lei
  • 18% Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation
    Preț: 106975 lei
  • nou Explainable AI: Building Trustworthy Deep Learning Systems
    Preț: 59855 lei

Preț: 96477 lei

Preț vechi: 117654 lei
-18% Recomandat

Puncte Express: 1447

Carte tipărită la comandă

Livrare economică 22 iunie-06 iulie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781032492476
ISBN-10: 1032492473
Pagini: 270
Ilustrații: 170
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.55 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Prospects in Smart Technologies

Public țintă

Professional Practice & Development and Undergraduate Advanced

De ce să citești această carte

Recomandăm această lucrare profesioniștilor și dezvoltatorilor IoMT care au nevoie de specificații tehnice pentru arhitecturi de „edge computing”. Cititorul câștigă o înțelegere profundă a modului în care AI și Realitatea Augmentată pot fi integrate în diagnosticarea automatizată. Este un manual tehnic esențial pentru cei care proiectează aplicații de sănătate bazate pe cloud, oferind soluții concrete pentru provocările actuale legate de procesarea datelor medicale în timp real.

Despre autor

Editorii acestui volum, printre care Hiren Kumar Thakkar, Chintan Bhatt și Victor C. M. Leung, sunt cercetători recunoscuți în domeniul tehnologiilor emergente. Expertiza lor colectivă acoperă domenii critice precum securitatea datelor, inteligența artificială și sistemele distribuite. Aceștia au coordonat anterior lucrări de referință precum Predictive Analytics in Cloud, Fog, and Edge Computing, demonstrând o preocupare constantă pentru intersecția dintre Blockchain, IoT și 5G. În Health 5.0, aceștia își canalizează cunoștințele tehnice către sectorul medical, oferind o viziune integrată asupra viitorului asistenței medicale digitalizate.

Cuprins

Introduction. Part I: The Conventional Medicare, Health 5.0, and Next-Generation Internet of Medical Things (IoMT). 1. The History, Concepts, and Conventional Medicare Technologies. 2. Recent Advancements and Issues in Health 5.0. 3. Smart healthcare and IoMT: Best practices and perspectives of AI and ML. Part II: Intelligent IoMT and New Age Computing: Principles and Perspective with AI and Edge Computing. 4. Issues and Challenges of Intelligent IoMT for Edge Computing. 5. Data Generation, Storage, and Processing of IoMT Healthcare Data in Edge Computing. 6. Advancements of IoMT and AI for Advancement of Health Monitoring. Part III: IoMT Frameworks and Architectures for Artificial Intelligence (AI) in Augmented Reality. 7. AI-Enabled IoMT Frameworks for Automated Health Diagnosis. 8. AI-enabled Mobile Cloud-based Federated IoMT Architecture for Ambient Assisted Healthy Living. 9. Symptom-Based Real-Time Augmented Pattern Detection and Recognition for Healthy Living. Part IV: AI-Enabled Smart Models and Algorithms for IoMT Augmented Data Analysis. 10. Open CV Algorithm for IoMT-Based Patient Emotion Pattern Analysis. 11. Explainable AI Algorithms for Augmented Healthcare Hybridization. 12. Optimized Predictive Algorithms for Augmented Intelligence in Personalized e-health. Part V: IoMT Applications and its Future Trends for AI, Augmented Reality, and Edge Computing. 13. Sentiment analysis and Social Media Analysis for IoMT-Enabled Data. 14. Deep Learning for Augmented Medical Image Dara Analysis.

Notă biografică

Dr. Hiren Kumar Thakkar received his M. Tech in CSE from IIIT Bhubaneswar, India in 2012 and a Ph.D. degree from Chang Gung University, Taiwan in 2018. Later, he worked as a postdoctoral fellow at Motor Behavioral Research Lab (MBRL), at Chang Gung University, Taiwan. Before joining PDEU, he worked as an Associate Professor at Nirma University, Ahmedabad. His research Interest includes Healthcare Data Analysis, Cloud Resource Management, and Opinion Feature Mining. He has published several SCI research papers in peer-reviewed journals and is a member of IEEE.
Dr. Chintan Bhatt is an Assistant Professor in the Department of Computer Science and Engineering (CSE), School of Technology, Pandit Deendayal Energy University (PDEU). Before joining PDEU, Dr. Bhatt served as an Assistant Professor in the CE department (CSPIT, CHARUSAT) for 11 years. Dr. Bhatt is the author and co-author of 80+ publications in the areas of Computer Vision, the Internet of Things, and Fog Computing. He has won several awards including "CSI Award" and "Best Paper Award" for his CSI articles and conference publications.
Dr. Victor C. M. Leung is an Emeritus Professor of Electrical and Computer Engineering at the University of British Columbia, Canada, and a Distinguished Professor of Computer Science and Software Engineering at Shenzhen University, China. He has co-authored numerous refereed articles in the broad areas of wireless networks and mobile systems and is a Clarivate Analytics “Highly Cited Researcher”. Dr. received the 2017 IEEE ComSoc Fred W. Ellersick Prize, the 2017 IEEE Systems Journal Best Paper Award, the 2017 Canadian Award for Telecommunications Research, the 2018 IEEE TCGCC Distinguished Technical Achievement Recognition Award, the 2018 IEEE CSIM Best Journal Paper Award, and the 2019 IEEE TCGCC Best Journal Paper Award, as well as several other awards. He is a Life Fellow of IEEE, and a Fellow of the Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada.
Dr. Ilangko Balasingham received the Siv. Ing.(MSc) and Dr. Ing.(Ph.D.) degrees both in signal processing from the Norwegian University of Science and Technology (NTNU), Trondheim, Norway in 1993 and 1998, respectively. He did his Masters thesis at the University of California in Santa Barbara. From 1998 to 2002, he was employed as a Research Engineer developing video streaming solutions for mobile handheld devices at Fast Search & Transfer ASA, Oslo, Norway. Since 2002, he has been with the Intervention Center, Oslo University Hospital - Rikshospitalet, Oslo, Norway as a Senior Research Scientist and Founder and Head of the Biomedical Sensor Network Research Group. He was appointed as a Professor of Medical Signal Processing and Communications at NTNU in 2006. In 2017, He was promoted to Head of the Section for Medical ICT R&D at the Intervention Center. He was a Professor by courtesy at the Frontier Institute, Nagoya Institute of Technology, Nagoya, Japan during the academic year 2016-2017. His research interests include medical signal and image processing, wireless biomedical sensor networks for short-range sensing, imaging, localization and communication, and multimedia patient record systems. Lately, he has been involved in nano-scale communication networks - molecular communications using biology and nanotechnology for intra-body applications, minimally invasive diagnosis, monitoring, and drug delivery.

Descriere scurtă

This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks and architectures for the adaptation and fusion of emerging technologies under Healthcare 5.0. The healthcare industry requires technological upgrades to provide precise, accurate, and automatic remote health monitoring and diagnosis. This reference book offers an early opportunity to explore emerging technologies and understand current issues, problems, and concepts.
Health 5.0: Concepts, Challenges, and Solutions provides state-of-the-art research topics and opportunities of IoMT in personalized healthcare. It presents diversified IoMT applications for smart healthcare that supports lifestyle changes as a preventive measure and discusses health and care for all citizens to lead a good quality of life. The book illustrates the advancements of IoMT in augmented reality and AI and offers use-cases of edge computing for remote healthcare. The book also highlights the architectures, frameworks, and current research issues in IoMT and goes on to focus on sustainable healthcare for smart cities using edge computing, IoMT, and big data. The details of the development of advanced therapeutic instrumentation, along with the promotion of digital therapy, are also provided.
The primary audience for this book includes academicians, researcher scholars, IoMT developers, cloud-based health application designers, and medical practitioners who are engaged in providing healthcare services using recent technologies.