Buch, Englisch, 201 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 463 g
Reihe: Demystifying Technologies for Computational Excellence
Challenges and Solutions
Buch, Englisch, 201 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 463 g
Reihe: Demystifying Technologies for Computational Excellence
ISBN: 978-0-367-76334-3
Verlag: Taylor & Francis Ltd (Sales)
This book discusses IoT in healthcare and how it enables interoperability, machine-to-machine communication, information exchange, and data movement. It also covers how healthcare service delivery automates patient care with the help of mobility solutions, new technologies, and next-gen healthcare facilities with challenges faced and suggested solutions prescribed.
Reinvention of Health Applications with IoT: Challenges and Solutions presents the latest applications of IoT in healthcare along with challenges and solutions. It looks at a comparison of advanced technologies such as Deep Learning, Machine Learning, and AI and explores the ways they can be applied to sensed data to improve prediction and decision-making in smart health services. It focuses on society 5.0 technologies and illustrates how they can improve society and the transformation of IoT in healthcare facilities to support patient independence. Case studies are included for applications such as smart eyewear, smart jackets, and smart beds. The book will also go into detail on wearable technologies and how they can communicate patient information to doctors in medical emergencies.
The target audiences for this edited volume is researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Zielgruppe
Academic, General, and Professional
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
Weitere Infos & Material
Contents
Preface.vii
About the Editors.ix
Chapter 1 Deep Machine Learning for Sensing, Analysis,
and Interpretation in IoT Healthcare.1
S.O. Owoeye, K.I. Adenuga, O.J. Odeyemi, and C.B. Emele
Chapter 2 IoT-Based Personalized Health and Fitness Monitoring
System: The Next Big Thing. 19
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 3 A Novel LC-DEH Algorithm to Enhance Efficiency and
Security for Reliable Data Transmission in Blockchain with
IoT-Based Healthcare Systems. 31
G. Uganya, Radhika Baskar, M. Balasaraswathi,
N. Vijayaraj, and D. Rajalakshmi
Chapter 4 Introduction to Blockchain Technology and Its Role
in the Healthcare Sector. 55
Sumit Koul and Tulasi Krishna
Chapter 5 Emerging IoT Applications: Smart Dialysis Monitoring System. 81
N. Vedanjali, Pappula Rajasri, Mahima Rajesh,
V.R. Anishma, and G. Kanimozhi
Chapter 6 Role of Analytics in IoT: A Development of AAAS.93
S. Manikandan, K. Gowrishankar, and Jagadeesh Pasupuleti
Chapter 7 IoT in M-Health Care. 109
Himanshu Singh, Ahmad Faraz, Justice Ohene-Akoto,
and D.V. Sneha
Chapter 8 IoT-Based Anaesthesia Control and Monitoring System. 127
Mangolik Kundu, Souvik Datta, and G. Kanimozhi
Chapter 9 Implantable Electronics: Real-Time Adaptive Image
Security of Smart Visual Sensor Nod. 141
R. Nithya Paranthaman and D. Dhanasekaran
Chapter 10 Security Concerns with IoT-Based Health and
Fitness Systems. 155
Pushpendu Rakshit, Pramod Kumar Srivastava,
and Omkar Chavan
Chapter 11 Emerging eHealth IoT Applications: A Review
on Kiosk-Based Systems. 163
Sushant, Akarsh Saxena, Mokhtar Shouran,
and D.V. Deepikaa
Chapter 12 Early Identification of Medical Image Analysis for
Normal and Abnormal Fetal Heart Rate: A Predictive
Optimization Design. 181
N. Nalini, D. Dhanasekaran, and N. Prabhakaran
Index.