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

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

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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Table of Contents

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

Authors

D. Jude Hemanth 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 Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, Romania. Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and for international conferences. Her research interests cover intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, as well as an expert evaluator for national and international projects and PhD theses. Dr. Balas is the Director of the Intelligent Systems Research Center and the Director of the Department of International Relations, Programs and Projects at the "Aurel Vlaicu” University of Arad. She served as the General Chair for nine editions of the International Workshop on Soft Computing Applications (SOFA) organized in 2005-2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working on a national project funded by the European Union: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures. She is a member of the European Society for Fuzzy Logic and Technology, a member of the Society for Industrial and Applied Mathematics, a senior member of IEEE, a member of the IEEE Fuzzy Systems Technical Committee, the chair of Task Force 14 of the IEEE Emergent Technologies Technical Committee, a member of the IEEE Soft Computing Technical Committee. She is also the recipient of the "Tudor Tanasescu" prize from the Romanian Academy for contributions in the field of soft computing methods (2019).