Full 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.
Contents
PART I - 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
PART II - 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
PART III - 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
