- Häftad (Paperback / softback)
- Antal sidor
- 1st ed. 2019
- Springer Verlag, Singapore
- Gurumoorthy, Sasikumar / Obaidat, Mohammad S.
- 44 Illustrations, color; 17 Illustrations, black and white; IX, 132 p. 61 illus., 44 illus. in color
- 232 x 155 x 7 mm
- Antal komponenter
- 1 Paperback / softback
- 244 g
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Yuval Noah HarariHäftad
Internet of Things and Personalized Healthcare Systems549Skickas inom 7-10 vardagar.
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This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.
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Dr. Sasikumar Gurumoorthy is a Professor at the Department of Computer Science and Systems Engineering, Sree Vidyanikethan Engineering College in Tirupati, India. With 12 years of teaching and 9 years of research experience, he has held various senior positions such as Head of the Department, Chief Superintendent, and Assistant Chief Superintendent of University Exams. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis. He has published more than 90 technical papers in various international journals, conference proceedings, and book chapters. He serves on the editorial board of several international journals like AIRCC, NCICT, MAT Journals, IFERP and IJERCSE, and is a reviewer for 11 international journals. For his outstanding contributions in the Wipro-Misson10X, he was awarded the In Pursuit of Excellence in Engineering Education through Innovation Prize (in 2009). He has received a Research Grant from DST-CSRI to work on an "Intelligent System to Classify Human Brain Signals for Finding Brain Diseases" and is currently associated with many professional bodies, including the CSI, IEEE, ACM, ISTE, IAENG, AIRCC, IACSIT and INEER. Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director at Sri Padmavati Mahila University, Tirupati, India. He received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include mobile and wireless systems, cross-layer wireless network design, QoS and cloud computing. Dr. Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally respected academic/researcher/scientist. He received his Ph.D. and M.S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. His previous positions include Advisor to the President of Philadelphia University for Research, Development and Information Technology; President of the Society for Molding and Simulation International, SCS; Senior Vice President of SCS; Dean of the College of Engineering at Prince Sultan University; Chair and Professor of the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University; Chair and Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University. Dr. Obaidat is currently a Full Professor at the King Abdullah II School of Information Technology at the University of Jordan.
1.IoT and e- health.- 2.Trust in Personalized Medicine.- 3.Big Data and Online Social Networks for Preventive Healthcare.- 4.Privacy in Personalised Healthcare Applications.- 5.Online Social Networks And Healthcare.- 6.Body Area Networks and Personalised Healthcare Applications.- Mobile Cloud and Personalised Healthcare Applications.- 7.Protocols, Algorithms, Architectures for IoT based Personalised Healthcare Applications.- 8.Data mining of health data.