Mobile Computing Solutions for Healthcare Systems

Description:

This book focuses on recent developments in integrating AI, machine learning methods, medical image processing, advanced network security, and advanced antenna design techniques to implement practical Mobile Health (M-Health) systems. The editors bring together researchers and practitioners who address several developments in the field of M-Health. Chapters highlight intelligent healthcare IoT and Machine Learning based systems for personalized healthcare delivery and remote monitoring applications. The contents also explain medical applications of computing technologies such as Wireless Body Area Networks (WBANs), wearable sensors, multi-factor authentication, and cloud computing. The book is intended as a handy resource for undergraduate and graduate biomedical engineering students and mobile technology researchers who want to know about the recent trends in mobile health technology.

See more ebooks for you at here:

Artificial Intelligence in the Clinical Laboratory | CBR60

Cloud Computing in Medical Imaging

Cardiac CT Made Easy: An Introduction to Cardiovascular Multidetector Computed Tomography 3ed 2022

The Internet of things enabling technologies, platforms, and use cases

Smart Distributed Embedded Systems for Healthcare Applications

Opportunities and Challenges with Artificial Intelligence in Genomics

Table of contents :

Cover
Title
Copyright
End User License Agreement
Contents
Foreword
1
FOREWORD 2
Foreword
2
Preface
List of Contributors
An SDN Based WBAN using Congestion Control Routing Algorithm with Energy Efficiency
Poonguzhali S.1,*, Sathish Kumar D.2 and Immanuel Rajkumar R.1
INTRODUCTION
Multiuser Detection
Interference Cancellation
EXISTING SYSTEM
Exhaustive Search Method for Channel Estimation For OFDM
DISADVANTAGES OF EXISTING SYSTEM
PROPOSED METHODOLOGY
RESULTS AND DISCUSSION
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
COVID-19 – Novel Short Term Prediction Methods
Sanjay Raju1, Rishiikeshwer B.S.1, Aswin Shriram T.1, Brindha G.R.1,*, Santhi B.1,* and Bharathi N.2,*
INTRODUCTION
The Hurdles in Predicting COVID-19
Materials and Methods
Novel Next Day Prediction Method
Novel M Days Prediction Method
The Mobile App
RESULT AND DISCUSSION
Next Day Prediction Analysis
N-Days Deviation and M-Days Prediction Analysis
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Intrusion Detection in IoT Based Health Monitoring Systems
M.N. Ahil1,*, V. Vanitha1 and N. Rajathi1
INTRODUCTION
RELATED WORKS
Host-Based Intrusion Detection System (HIDS)
Network Intrusion Detection System (NIDS)
PROPOSED METHOD
Data Collection
Pre-Processing
RESULTS AND DISCUSSION
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Machine Learning Methods For Intelligent Health Care
K. Kalaivani1,*, G. Valarmathi2, T. Kalaiselvi1 and V. Subashini2
INTRODUCTION
APPLICATIONS OF MACHINE LEARNINGIN HEALTH CARE
Diagnosis of Diseases
Drugdelivery and Manufacture
Medical Imaging Diagnosis
Personalized Medicine
Machine Learning-Based Behavioral Modification
Smart Health Records
Clinical Trial and Research
Crowd Sourced Data Collection
Better Radiotherapy
Outbreak Prediction
Artificial Intelligence in Healthcare
Clinical Analysis
Machine Learning Approaches in Smart Health
Machine Learning Methods in Smart Health
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Multi-Factor Authentication Protocol Based on Electrocardiography Signals for a Mobile Cloud Computing Environment
Silas L. Albuquerque1, Cristiano J. Miosso2, Adson F. da Rocha1 ,2 and Paulo R. L. Gondim1 ,*
INTRODUCTION
RELATED WORK
Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services
An Enhanced Privacy-Aware Authentication Scheme for Distributed Mobile Cloud Computing Services
CC Authentication Service Based on Keystroke Standards
Efficient Authentication System Based on Several Factors For MCC