Description
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
Table of Contents
PART I - U-Healthcare Monitoring System using Sensor Networks1. Advanced Processing Techniques and Secure Architecture for Sensor Networks in Ubiquitous Healthcare Systems2. Wireless Sensor Networks towards convenient infrastructure in Health care industry: A systematic study3. A Comprehensive Dialogue for U-Body Sensor Network (UBSN) with Experimental Case Study4. Compressive Sensing in Medical Signal Processing and Imaging SystemsPART II - Internet of Things for U-Healthcare5. Nanopore Sequencing Technology and Internet of Living Things: A Big Hope for U-Healthcare6. Internet of Things (IoT) Enabled Virtual Environment for U-Health Monitoring7. Health status from your body to the cloud: Behavioural relationship between IoT and classification techniques in abnormal situation8. Intelligent energy efficient healthcare models integrated with IoT and LoRa Network9. Wearable Fitness Band Based U-Health Monitoring10. Role of Trust in Ubiquitous Healthcare System: Challenges and OpportunitiesPART III - Applications of Pattern Recognition Algorithms in U-Healthcare11. PNN based Classification of Retinal Diseases using Fundus Images12. Performance Comparison Analysis of different classifiers for Early Detection of Knee Osteoarthritis13. A Comparative Study for Brain Tumor Detection in MRI Images using Texture Features
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