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.
Innehållsförteckning
List of Contributors
Chapter 1 Intelligent Sensing and Ubiquitous Systems (ISUS) for Smarter and Safer Home Healthcare
Rui S. Moreira, José Torres, Pedro Sobral, and Christophe Soares
Chapter 2 PEMO-EC: A Pervasive Platform for ECG Signal Processing
Angelo Brayner, José Maria Monteiro, and João Paulo Madeiro
Chapter 3 The Impact of Implantable Sensors in Biomedical Technology on the Future of Healthcare Systems
Ashraf Darwish, Gehad Ismail Sayed, and Aboul Ella Hassanien
Chapter 4 Social Network’s Security Related to Healthcare
Fatna Elmendili, Habiba Chaoui, and Younes El Bouzekri El Idrissi
Chapter 5 Multi-Sensor Fusion for Context-Aware Applications
Veeramuthu Venkatesh, P. Balakrishnan, and Pethru Raj
Chapter 6 Io T Based Noninvasive Wearable and Remote Intelligent Pervasive Healthcare Monitoring Systems for Elderly
Stela Vitorino Sampaio
Chapter 7 Pervasive Healthcare System Based on Environmental Monitoring
Sangeetha, A. and Amudha, T.
Chapter 8 Secure Pervasive Healthcare System and Diabetes Prediction Using Heuristic Algorithm
P Pabitha and Rajalakshmi Shenbaga Moorthy
Chapter 9 Threshold-Based Energy Efficient Routing Protocol for Critical Data Transmission to Increase Life Time in Heterogeneous Wireless Body Area Sensor Network
P.Deepalakshmi and V.Navya
Chapter 10 Privacy and Security Issues on Wireless Body Area and Io T for Remote Healthcare Monitoring
Prabha Selvaraj and Sumathi Doraikannan
Chapter 11 Intelligent Pervasive Computing Systems for Smarter Healthcare
Padma T and Jayashree Nair
Chapter 12 Image Analysis Using Smartphones for Medical Applications: A Survey
Rajeswari, R. and Jothilakshmi, R.
Chapter 13 Bounds of Spreading Rate of Virus for a Network Through an Intuitionistic Fuzzy Graph
G. Deepa, B. Praba, V.M. Chandrasekaran, K. Rajakumar, and Krishnamoorthy Venkatesan
Chapter 14 Data Mining Techniques for the Detection of the Risk in Cardiovascular Diseases
K. Dinakaran, S. Vishnu Priya, and P. Valarmathie
Chapter 15 E-Health: Bio Sensors
N. Ruban and A. Mary Mekala
Chapter 16 Anomaly Detection and Pattern Matching Algorithm for Healthcare Application: Identifying Ambulance Siren in Traffic
Gowtham Babu K and Sasikala R
Chapter 17 Detecting Diabetic Retinopathy from Retinal Images Using CUDA DEEP Neural Network
Ricky parmar, Ramanathan Lakshmanan, Swarnalatha Purushotham, and Rajkumar Soundrapandiyan
Chapter 18 An Energy Efficient Wireless Body Area Network Design in Health Monitoring Scenarios
Kannan Shanmugam and Karthik Subburathinam
Om författaren
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.
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