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U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of informati… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user’s different conditions by outlining appropriate information relevant to the user’s situation.
This volume will help engineers design sensors, wireless systems and wireless communication embedded systems to provide an integrated u-healthcare monitoring system. This volume provides readers with a solid basis in the design and applications of u-healthcare monitoring systems.
Researchers and industry professionals in the areas of system design, computer science, electronics engineering, wireless communication, body area networking, IoT, big data, data management, monitoring systems design and information technology
1. Ontology-based Electronic Health Record Semantic Interoperability: A Survey - A Unified Fuzzy Ontology for Distributed Electronic Health Record Semantic Interoperability
2. A Genetic Algorithm Based Metaheuristic Approach to Customize a Computer Aided Classification System for Enhanced Screen Film Mammograms
3. Improving Prediction Accuracy of Heart Disease with Ensemble Learning and Majority Voting Rule
4. Comparison of Multi-class and Hierarchical CAC Design for Benign and Malignant Hepatic Tumors
5. Wearable U-HRM Device for Rural Application
6. Medical image diagnosis for disease detection : A Deep learning approach
7. Reasoning Methodologies in Clinical Decision Support Systems: A Literature Review"; "Ontology Enhanced Fuzzy Clinical Decision Support System
8. Embedded Healthcare System for Day-to-day Fitness, Chronic Kidney Disease and Congestive Heart Failure"; "Embedded Healthcare System based on Bio-impedance Analysis for Identification and Classification of Skin Diseases in Indian Context
9. Dummy Framework for Automated Generation and Testing of P300 Features
10. Machine learning for medical diagnosis: A neural network classifier optimized via Directed Bee Colony optimization algorithm
11. A Hybrid CAD System for Liver Diseases using Clinical and Radiological Data
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Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.
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