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Telemedicine Technologies. Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare

  • ID: 4759540
  • Book
  • May 2019
  • Region: Global
  • Elsevier Science and Technology

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.

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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

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D. Jude Hemanth Associate Professor, Karunya University, Tamil Nadu, India.

Dr. D. Jude Hemanth received his PhD in Medical Image Analysis Using Soft Computing Techniques from Karunya University, India. He currently is an Associate Professor at Karunya University with research interests in Soft Computing, Biomedical Image Processing, and Optimization Techniques. He lectures on Biomedical Instrumentation, Neural Networks, Fuzzy Systems, Soft Computing, Digital Image Processing, and Multimedia Compression Techniques. He has been a prolific author and editor of many books and book chapters, including Nature Inspired Optimization Techniques for Image Processing Applications, Springer; Imaging and Sensing for Unmanned Aerial Vehicles, Institution of Engineering and Technology; Intelligent Data Communication Technologies and Internet of Things, Springer; Artificial Intelligence Techniques for Satellite Image Analysis, Springer, Emerging Trends in Computing and Expert Technology, Springer; Artificial Intelligence Techniques for Medical Image Analysis, VDM Verlag; Intelligent Data Analysis for Biomedical Applications, Academic Press; and Telemedicine Technologies, Academic Press, among others.
Valentina Emilia Balas Professor, Aurel Vlaicu University of Arad, Romania.

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.
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