Intelligent Pervasive Computing Systems for Smarter Healthcare
- 7h 14m
- Arun Kumar Sangaiah, Padma Theagarajan, S. P. Shantharajah
- John Wiley & Sons (US)
- 2019
A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors
Intelligent Pervasive Computing Systems for Smarter Healthcare describes the innovations in healthcare made possible by computing through bio-sensors. The pervasive computing paradigm offers tremendous advantages in diversified areas of healthcare research and technology. The authors—noted experts in the field—provide the state-of-the-art intelligence paradigm that enables optimization of medical assessment for a healthy, authentic, safer, and more productive environment.
Today’s computers are integrated through bio-sensors and generate a huge amount of information that can enhance our ability to process enormous bio-informatics data that can be transformed into meaningful medical knowledge and help with diagnosis, monitoring and tracking health issues, clinical decision making, early detection of infectious disease prevention, and rapid analysis of health hazards. The text examines a wealth of topics such as the design and development of pervasive healthcare technologies, data modeling and information management, wearable biosensors and their systems, and more. This important resource:
- Explores the recent trends and developments in computing through bio-sensors and its technological applications
- Contains a review of biosensors and sensor systems and networks for mobile health monitoring
- Offers an opportunity for readers to examine the concepts and future outlook of intelligence on healthcare systems incorporating biosensor applications
- Includes information on privacy and security issues on wireless body area network for remote healthcare monitoring
Written for scientists and application developers and professionals in related fields, Intelligent Pervasive Computing Systems for Smarter Healthcare is a guide to the most recent developments in intelligent computer systems that are applicable to the healthcare industry.
About the Authors
ARUN KUMAR SANGAIAH, PHD, is currently associated with the School of Computer Science and Engineering, VIT University, Vellore, India.
S. P. SHANTHARAJAH, PHD, is currently associated with the School of Information Technology and Engineering, VIT University, Vellore, India.
PADMA THEAGARAJAN, PHD, is currently associated with the Department of Computer Applications, Sona College of Technology, Salem, India.
In this Book
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Intelligent Sensing and Ubiquitous Systems (ISUS) for Smarter and Safer Home Healthcare
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PeMo-EC—An Intelligent, Pervasive and Mobile Platform for ECG Signal Acquisition, Processing, and Pre-Diagnostic Extraction
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The Impact of Implantable Sensors in Biomedical Technology on the Future of Healthcare Systems
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Social Network's Security Related to Healthcare
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Multi-Sensor Fusion for Context-Aware Applications
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IoT-Based Noninvasive Wearable and Remote Intelligent Pervasive Healthcare Monitoring Systems for the Elderly People
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Pervasive Healthcare System Based on Environmental Monitoring
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Secure Pervasive Healthcare System and Diabetes Prediction Using Heuristic Algorithm
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Threshold-Based Energy-Efficient Routing Protocol for Critical Data Transmission to Increase Lifetime in Heterogeneous Wireless Body Area Sensor Network
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Privacy and Security Issues on Wireless Body Area and IoT for Remote Healthcare Monitoring
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Remote Patient Monitoring—A Key Management and Authentication Framework for Wireless Body Area Networks
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Image Analysis Using Smartphones for Medical Applications—A Survey
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Bounds of Spreading Rate of Virus for a Network Through an Intuitionistic Fuzzy Graph
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Data Mining Techniques for the Detection of the Risk in Cardiovascular Diseases
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Smart Sensing System for Cardio Pulmonary Sound Signals
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Anomaly Detection and Pattern Matching Algorithm for Healthcare Application—Identifying Ambulance Siren in Traffic
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Detecting Diabetic Retinopathy from Retinal Images Using CUDA Deep Neural Network
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An Energy-Efficient Wireless Body Area Network Design in Health Monitoring Scenarios
