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Elsevier

Telemedicine Technologies

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

  • 1 Edición - 4 de mayo de 2019
  • Última edición
  • Editores: D. Jude Hemanth, Valentina Emilia Balas
  • Idioma: Inglés

Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and framework… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

Biomedical Engineers and researchers in the fields of Big Data, Robotics, Deep Learning

Índice

1. Mobile application for medical diagnosis

2. Emerging paradigms in transform-based medical image compression for telemedicine environment

3. Adopting m-Health in clinical practice: a boon or a bane?

4. Investigation of telecardiology system to detect cardiac abnormalities

5. Microaneurysms detection for 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

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 toward facilitating electronic health record analytics

14. Security and privacy in remote healthcare: issues, solutions, and standards

15. Virtual clinic: a CDSS assisted telemedicine framework

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 4 de mayo de 2019
  • Idioma: Inglés

Sobre los editores

DH

D. Jude Hemanth

Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain. Dr. 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. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.
Afiliaciones y experiencia
Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbatore, India

VB

Valentina Emilia Balas

Dr. Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research interests include intelligent systems, fuzzy systems, soft computing, smart sensors, information fusion, modeling, and simulation. Dr. Balas serves as Director of the Intelligent Systems Research Center and Director of International Relations, Programs and Projects at Aurel Vlaicu University of Arad. She is Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and serves on the editorial boards of several scientific journals. She has led and contributed to numerous national and international research initiatives, including the European Union-funded BioCell-NanoART project on bio-inspired cellular nano-architectures. She is active in several professional societies and technical committees, including IEEE, the European Society for Fuzzy Logic and Technology, and the Society for Industrial and Applied Mathematics.
Afiliaciones y experiencia
"Aurel Vlaicu" University of Arad, Arad, Romania

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