Editors: Sivakumar R., Dimiter Velev, Basim Alhadidi, S. Vidhya, Sheeja V. Francis, B. Prabadevi

Mobile Computing Solutions for Healthcare Systems

eBook: US $79 Special Offer (PDF + Printed Copy): US $136
Printed Copy: US $96
Library License: US $316
ISBN: 978-981-5050-60-8 (Print)
ISBN: 978-981-5050-59-2 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150505921230101


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.


Undergraduate and graduate biomedical engineering students, healthcare professionals, and mobile technology researchers.



Over the last decade, technological revolution has translated health care systems from its conventional form to the present computer / internet / mobile phone based formats. This paradigm shift has led to several advancements and challenges as well, which need scholarly deliberations. I am immensely pleased to find that this book provides such a platform. This book offers a comprehensive coverage of the wide spectrum of computing solutions available for mobile healthcare systems. It focuses on recent developments such as Artificial Intelligence, Machine Learning Methods, Medical Image Processing, Network Security and Antenna Design techniques, which may be integrated to build promising and secure m-Healthcare systems. Chapters on Smart Wearable Sensors and IoT based solutions for general remote health monitoring as well as their specific application during COVID pandemic are truly contemporary. I congratulate the editors for providing a platform for several researchers to showcase their research findings and achievements in the field of m-Healthcare. I am sure that this book will provide several insights and directions for further research in the area.

M. Sasikala
Department of Electronics & Communication Engineering
Anna University, Chennai


The book presents the latest developments on integrating Artificial Intelligence and Machine Learning methods, medical image processing, advanced network security, and advanced antenna design techniques to bring Mobile Healthcare (M-Health) to new advanced, promising and secure M-Healthcare systems. The book aims to bring together scientists and practitioners from different professional fields to address several kinds of research and achievements in M-Healthcare, based on intelligent IoT and Machine Learning systems for personalized intelligent M-Healthcare and remote monitoring applications. The book will certainly be of special interest to a wide professional audience and it will give precious insights on how to effectively fight diseases with the newest technologies.

Dimitar Dimitrov
Rector of University of National and World Economy