Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system.
- Illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system
- Focuses on showcasing prototypes of remote healthcare systems
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
1. Mobile application for medical diagnosis 2. Emerging Paradigms in Transform-based medical image compression for Telemedicine 3. Adopting m-health in clinical practice
a boon or a bane? 4. Investigation of telecardiology system to detect cardiac abnormalities 5. Microaneurysms detection of early diagnosis of diabetic retinopathy using shape and steerable Gaussian features 6. Telemetry system for early detection of hyperbilirubinemia in neonates 7. WBAN: Driving E-healthcare beyond telemedicine to remote health monitoring-architecture and protocols 8. Remote monitoring of children with chronic illness using wearable vest 9. A predictive model for hypertension diagnosis using machine learning techniques 10. From telediagnosis to teletreatment: The role of computational biology and bioinformatics in tele-based healthcare 11. m-health in public health practice: a constellation of current evidence 12. The Egyptian-African telemedicine network: The treat and teach comprehensive model 13. An extended views based big data model towards facilitating electronic health record analytics 14. Security and Privacy in remote healthcare :Issues, Solutions and Standards 15. Virtual Clinic: A CDSS assisted telemedicine framework
Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 100 research papers in reputed International Journals such as Neurocomputing, Neural Computing and Applications, Neural Network World, etc. He has authored one book with (VDM-Verlag, Germany) and many book chapters with reputed publishers such as Springer and Inderscience. He is the guest editor of the book series "Lecture Notes in Computational Vision and Biomechanics with Springer and "Advances in Parallel Computing with IOS Press. He has been serving as Associate editor of various International Journals with Publishers such as IEEE (IEEE Access Journal), Springer (Sensing and Imaging), Inderscience (IJAIP, IJICT, IJCVR, IJBET), IOS Press (Intelligent Decision Technologies), and others.
Emilia Balas, Valentina
Valentina E. Balas holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 250 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), Editorial Board member of several national and international journals and is evaluator expert for national and international projects. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and was Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.