U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user’s different conditions by outlining appropriate information relevant to the user’s situation.
This volume will help engineers design sensors, wireless systems and wireless communication embedded systems to provide an integrated u-healthcare monitoring system. This volume provides readers with a solid basis in the design and applications of u-healthcare monitoring systems.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xv 6. Preface - p. xvii 7. Chapter 1: Wearable U-HRM device for rural applications - p. xix 8. Chapter 2: A robust framework for optimum feature extraction and recognition of P300 from raw EEG - p. 14 9. Chapter 3: Medical image diagnosis for disease detection: A deep learning approach - p. 35 10. Chapter 4: Reasoning methodologies in clinical decision support systems: A literature review - p. 60 11. Chapter 5: Embedded healthcare system for day-to-day fitness, chronic kidney disease, and congestive heart failure - p. 87 12. Chapter 6: Comparison of multiclass and hierarchical CAC design for benign and malignant hepatic tumors - p. 117 13. Chapter 7: Ontology enhanced fuzzy clinical decision support system - p. 146 14. Chapter 8: Improving the prediction accuracy of heart disease with ensemble learning and majority voting rule - p. 177 15. Chapter 9: Machine learning for medical diagnosis: A neural network classifier optimized via the directed bee colony optimization algorithm - p. 196 16. Chapter 10: A genetic algorithm-based metaheuristic approach to customize a computer-aided classification system for enhanced screen film mammograms - p. 215 17. Chapter 11: Embedded healthcare system based on bioimpedance analysis for identification and classification of skin diseases in Indian context - p. 259 18. Chapter 12: A hybrid CAD system design for liver diseases using clinical and radiological data - p. 288 19. Chapter 13: Ontology-based electronic health record semantic interoperability: A survey - p. 314 20. Chapter 14: A unified fuzzy ontology for distributed electronic health record semantic interoperability - p. 352 21. Index - p. 397
U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user’s different conditions by outlining appropriate information relevant to the user’s situation.
This volume will help engineers design sensors, wireless systems and wireless communication embedded systems to provide an integrated u-healthcare monitoring system. This volume provides readers with a solid basis in the design and applications of u-healthcare monitoring systems.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xv 6. Preface - p. xvii 7. Chapter 1: Wearable U-HRM device for rural applications - p. xix 8. Chapter 2: A robust framework for optimum feature extraction and recognition of P300 from raw EEG - p. 14 9. Chapter 3: Medical image diagnosis for disease detection: A deep learning approach - p. 35 10. Chapter 4: Reasoning methodologies in clinical decision support systems: A literature review - p. 60 11. Chapter 5: Embedded healthcare system for day-to-day fitness, chronic kidney disease, and congestive heart failure - p. 87 12. Chapter 6: Comparison of multiclass and hierarchical CAC design for benign and malignant hepatic tumors - p. 117 13. Chapter 7: Ontology enhanced fuzzy clinical decision support system - p. 146 14. Chapter 8: Improving the prediction accuracy of heart disease with ensemble learning and majority voting rule - p. 177 15. Chapter 9: Machine learning for medical diagnosis: A neural network classifier optimized via the directed bee colony optimization algorithm - p. 196 16. Chapter 10: A genetic algorithm-based metaheuristic approach to customize a computer-aided classification system for enhanced screen film mammograms - p. 215 17. Chapter 11: Embedded healthcare system based on bioimpedance analysis for identification and classification of skin diseases in Indian context - p. 259 18. Chapter 12: A hybrid CAD system design for liver diseases using clinical and radiological data - p. 288 19. Chapter 13: Ontology-based electronic health record semantic interoperability: A survey - p. 314 20. Chapter 14: A unified fuzzy ontology for distributed electronic health record semantic interoperability - p. 352 21. Index - p. 397
