M-Health [electronic resource] : Emerging Mobile Health Systems / edited by Robert S. H. Istepanian, Swamy Laxminarayan, Constantinos S. Pattichis.Material type: TextLanguage: English Series: Topics in Biomedical Engineering: Publisher: Boston, MA : Springer US, 2006Description: XXX, 626 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387265599Subject(s): Engineering | Computer science | Biomedical engineering | Engineering | Biomedical Engineering | Biophysics/Biomedical Physics | Computer Science, generalAdditional physical formats: Printed edition:: No titleDDC classification: 610.28 LOC classification: R856-857Online resources: Click here to access online
to Mobile M-Health Systems -- Ubiquitous M-Health Systems and the Convergence Towards 4G Mobile Technologies -- The Efficacy of the M-Health Paradigm: Incorporating Technological, Organisational and Managerial Perspectives -- Wireless Intelligent Sensors -- Wireless Technologies for Healthcare Applications -- Wireless Communication Technologies for Mobile Healthcare Applications: Experiences and Evaluation of Security Related Issues -- Secure Mobile Health Systems: Principles and Solutions -- Computational and Wireless Modeling for Collaborative Virtual Medical Teams -- Smart Mobile Applications for Health Professionals -- Section Overview -- The Memo Project — an Accompanying Measure for Medical Mobile Devices -- Medical Natural Language Processing Enhancing Drug Ordering and Coding -- Mobi-Dev: Mobile Devices for Healthcare Applications -- Wardinhand -- Docmem — Mobile Access to Electronic Health Records -- Smartie: Smart Medical Applications Repository of Tools for Informed Expert Decision -- Telemedicine as a New Possibility to Improve Heatlh Care Delivery -- Mobihealth: Mobile Health Services Based on Body Area Networks -- Mobihealth: Mobile Services for Health Professionals -- Ditis: A Collaborative Virtual Medical Team for Home Healthcare of Cancer Patients -- Future Challenges and Recommendations -- Signal, Image, and Video Compression for M-Health Applications -- Section Overview -- Biosignals and Compression Standards -- Resilient Ecg Wavelet Coding for Wireless Real-Time Telecardiology Applications -- The Jpeg2000 Image Compression Standard in Mobile Health -- Compression of Volumetric Data in Mobile Health Systems -- An Overview of Digital Video Compression for Mobile Health Systems -- Future Challenges and Recommendations -- Emergency Health Care Systems and Services -- Section Overview -- ECG Telecare: Past, Present and Future -- Medical Aspects of Prehospital Cardiac Telecare -- An Emergency Telemedicine System Based on Wireless Communication Technology: A Case Study -- Application of Mobile Communication Techniques for Emergency Telemedicine -- Future Challenges and Recommendations -- Echography Systems and Services -- Section Overview -- Mobile Tele-Echography Systems — Teleinvivo: A Case Study -- A Tele-Operated Robotic System for Mobile Tele-Echography: The Otelo Project -- User Interface Environment and Image Communication in Mobile Tele-Echography -- Object-Based Ultrasound Video Processing for Wireless Transmission in Cardiology -- Future Challenges and Recommendations -- Remote and Home Monitoring -- Section Overview -- Civilian Telemedicine in Remote and Extreme Environments -- Telematic Requirements for Emergency and Disaster Response Derived from Enterprise Models -- Telematic Support for Disaster Situations -- Remote Monitoring for Healthcare and for Safety in Extreme Environments -- Chronic Patient's Management: the Copd Example -- A Mobile Telemedicine Workspace for Diabetes Management -- Mobile Management and Prescription of Medication -- Future Challenges and Recommendations.
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 for healthcare. 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.