Verkauf durch Sack Fachmedien

Ambikapathy / R. / Logavani

Reinvention of Health Applications with IoT

Challenges and Solutions

Medium: Buch
ISBN: 978-0-367-76334-3
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 22.03.2022
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9780367763343
  • Medium: Buch
  • ISBN: 978-0-367-76334-3
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 22.03.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Demystifying Technologies for Computational Excellence
  • Produktform: Gebunden
  • Gewicht: 463 g
  • Seiten: 201
  • Format (B x H x T): 156 x 234 x 13 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.