M-health can be defined as the ‘emerging mobile communications and network technologies for healthcare systems.' This book paves the path toward understanding the future of m-health technologies and services and also introducing the impact of mobility on existing e-health and commercial telemedical systems. M-Health: Emerging Mobile Health Systems presents a new and forward-looking source of information that explores the present and future trends in the applications of current and emerging wireless communication and network technologies for different healthcare scenaria. It also provides a discovery path on the synergies between the 2.5G and 3G systems and other relevant computing and information technologies and how they prescribe the way for the next generation of m-health services. The book contains 47 chapters, arranged in five thematic sections: Introduction to Mobile M-health Systems, Smart Mobile Applications for Health Professionals, Signal, Image, and Video Compression for M-health Applications, Emergency Health Care Systems and Services, Echography Systems and Services, and Remote and Home Monitoring. This book is intended for all those working in the field of information technologies in biomedicine, as well as for people working in future applications of wireless communications and wireless telemedical systems. It provides different levels of material to researchers, computing engineers, and medical practitioners interested in emerging e-health systems. This book will be a useful reference for all the readers in this important and growing field of research, and will contribute to the roadmap of future m-health systems and improve the development of effective healthcare delivery systems.
M-health: Emerging Mobile Health Systems presents recent advances in this area and explores future trends in the applications of current and emerging wireless communication and network technologies for healthcare delivery and new wireless telemedical services. This work also evaluates the impact of the synergies between the 2.5G and 3G systems and beyond for healthcare applications and explores the augmentation of these technologies for the next generation of m-health services. M-health is commonly defined as the ‘emerging mobile communications and network technologies for healthcare systems’. M-health represents a new framework of research, blending innovative mobile communications, network technologies, and medical sensor and ubiquitous computing devices with medical and biological sciences for enhanced healthcare delivery mechanisms and services.
Key topics include:
- Introduction to Mobile M-health Systems
- Smart Mobile Applications for Health Professionals
- Signal, Image, and Video Compression for M-health Applications
- Emergency Health Care Systems and Services, robotic Tele- Ultrasound Systems and Services
- Remote and Home Monitoring technologies.
M-health: Emerging Mobile Health Systems is essential reading for biomedical engineers, engineers, computer scientists, physicists, physicians, and health care systems professionals.
About the authors:
Robert S. H. Istepanian, PhD is a Professor of Data Communications and Director of the Mobile Information and Network Technologies Research Centre ( MINT) at Kingston University, London, UK. He is fellow of the IEE and is considered as one of the pioneers and leading authorities in the areas of m-health and wireless communication systems forhealthcare.
Swamy Laxminarayan, Fellow AIMBE, currently serves as the Associate Director of Applied Research in the Biomedical Research Institute at Idaho State University. He is an internationally known scientist, engineer and educator and has spent over 30 years in the field of biomedical information technology and biomedical engineering, including: computational biology, signals and image processing and telemedicine discipline.
Constantinos S. Pattichis, PhD is an Associate Professor of Computer Science at the University of Cyprus. He has over 20 years experience in the field of eHealth systems, computational intelligence, medical imaging and biosignal analysis.
