Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best sensors for a U-Healthcare system, advises and guides readers on how to overcome challenges relating to data acquisition and signal processing, and presents comprehensive coverage of up-to-date requirements in hardware, communication and calculation for next-generation uHealth systems. It then compares new technological and technical trends and discusses how they address expected u-Health requirements.
In addition, detailed information on system operations is presented and challenges in ubiquitous computing are highlighted. The book not only helps beginners with a holistic approach toward understanding u-Health systems, but also presents researchers with the technological trends and design challenges they may face when designing such systems.
- Presents an outstanding update on the use of U-Health data analysis and management tools in different applications, highlighting sensor systems
- Highlights Internet of Things enabled U-Healthcare
- Covers different data transmission techniques, applications and challenges with extensive case studies for U-Healthcare systems
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U-Healthcare Monitoring System using Sensor Networks 1. Advanced Processing Techniques and Secure Architecture for Sensor Networks in Ubiquitous Healthcare Systems 2. Wireless Sensor Networks towards convenient infrastructure in Health care industry: A systematic study 3. A Comprehensive Dialogue for U-Body Sensor Network (UBSN) with Experimental Case Study 4. Compressive Sensing in Medical Signal Processing and Imaging Systems
Internet of Things for U-Healthcare 5. Nanopore Sequencing Technology and Internet of Living Things: A Big Hope for U-Healthcare 6. Internet of Things (IoT) Enabled Virtual Environment for U-Health Monitoring 7. Health status from your body to the cloud: Behavioural relationship between IoT and classification techniques in abnormal situation 8. Intelligent energy efficient healthcare models integrated with IoT and LoRa Network 9. Wearable Fitness Band Based U-Health Monitoring 10. Role of Trust in Ubiquitous Healthcare System: Challenges and Opportunities
Applications of Pattern Recognition Algorithms in U-Healthcare 11. PNN based Classification of Retinal Diseases using Fundus Images 12. Performance Comparison Analysis of different classifiers for Early Detection of Knee Osteoarthritis 13. A Comparative Study for Brain Tumor Detection in MRI Images using Texture Features
Nilanjan Dey received his Ph. D. Degree from Jadavpur University, India, in 2015. He is an Assistant Professor in the Department of Information Technology, Techno International New Town, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. His research topic is Medical Imaging, Data mining, Machine learning, Computer Aided Diagnosis, Atherosclerosis etc. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IGI Global), US, (Co-EinC) and International Journal of Natural Computing Research (IGI Global), US. Series Editor (Co.) of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He has 20 books and more than 200 research articles in peer-reviewed journals and international conferences. He is the organizing committee member of several international conferences including ITITS, W4C, ICMIR, FICTA, ICICT.
Jyotismita Chaki is an Assistant Professor in the Department of Information Technology and Engineering at Vellore institute of Technology, Vellore, India. She received her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include computer vision and image processing, pattern recognition, medical imaging, soft computing, data mining, machine learning. She has published 22 international conference and journal papers. She is the author of the book titled: A Beginner's Guide to Image Preprocessing Techniques (Intelligent Signal Processing and Data Analysis). She has previously served as a Program Committee member of the 2nd International Conference on Advanced Computing and Intelligent Engineering 2017 (ICACIE-2017) and the 4TH International Conference on Image Information Processing (ICIIP-2017).
Rajesh Kumar is currently serving as Professor and Head at the Department of Electrical Engineering at the Malaviya National Institute of Technology, Jaipur, India. He is also adjunct faculty to Centre of Energy and Environment at Malaviya National Institute of Technology, Jaipur, India.
Dr. Kumar has carried out extensive research in various areas of theory and practice of intelligent systems, bio and nature inspired algorithms, smart grid, power electronics, power management, applications of AI to image processing and robotics. He has published more than 450 papers in international refereed journals and conferences. He has received and published 12 patents. He has supervised 15 PhD and 35 Master thesis. He has delivered more than 100 expert talks in various conferences and workshops. Dr. Kumar has won the Career Award for Young Teachers, Government of India in 2000. He received 06 best thesis awards, 05 academic awards, 12 best paper awards, 04 professional awards and 30 student awards.
He is Vice Chairman, IEEE Rajasthan Sub Section and Executive Member, IEEE PES-IAS Delhi Chapter and Computer Society of India, Rajasthan Section. He is Associate Editor of IEEE ITeN (Industrial Electronics Technology News), Associate Editor, Swarm and Evolutionary Computation, Associate Editor, IET Renewable and Power Generation, Associate Editor, IET Power Electronics, Deputy Editor-in-Chief, CAAI Transactions on Intelligent Technology, Associate Editor, International Journal of Bio Inspired Computing. He is an Editorial Member of more than 15 Journals. Dr. Kumar is also Senior Member IEEE (USA), Fellow IET (UK), Fellow IE (INDIA), Fellow IETE, Life Member CSI, Senior Member IEANG and Life Member ISTE.