Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.
This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the editors - p. xv 6. About the contributors - p. xvii 7. Preface - p. xxv 8. About the book - p. xxix 9. Chapter 1: CLOUDFALL 1.0: A Smart, Low-Cost, IoT-Based Fall-Detection Sensor Node - p. xxx 10. Chapter 2: Computer-Assisted Anthropology - p. 19 11. Chapter 3: Modeling a Fuzzy System for Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine Combining Positive and Negative Rules - p. 47 12. Chapter 4: Image-Guided Surgery Through Internet of Things - p. 74 13. Chapter 5: IoT in Agriculture Investigation on Plant Diseases and Nutrient Level Using Image Analysis Techniques - p. 116 14. Chapter 6: Internet of Things in Healthcare: A Brief Overview - p. 130 15. Chapter 7: Artificial Intelligence Based Diagnostics, Therapeutics and Applications in Biomedical Engineering and Bioinformatics - p. 160 16. Chapter 8: Why Big Data and What Is It? Basic to Advanced Big Data Journey for the Medical Industry - p. 187 17. Chapter 9: Internet of Things Application in Life Sciences - p. 212 18. Chapter 10: Emerging Trends of IoT-Based Applications in Day-to-Day Life - p. 233 19. Chapter 11: Combining Predictive Analytics and Artificial Intelligence With Human Intelligence in IoT-Based Image-Guided Surgery - p. 257 20. Chapter 12: Internet of Things Technologies - p. 289 21. Chapter 13: Medical Big Data Mining and Processing in e-Healthcare - p. 322 22. Index - p. 341
Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.
This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the editors - p. xv 6. About the contributors - p. xvii 7. Preface - p. xxv 8. About the book - p. xxix 9. Chapter 1: CLOUDFALL 1.0: A Smart, Low-Cost, IoT-Based Fall-Detection Sensor Node - p. xxx 10. Chapter 2: Computer-Assisted Anthropology - p. 19 11. Chapter 3: Modeling a Fuzzy System for Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine Combining Positive and Negative Rules - p. 47 12. Chapter 4: Image-Guided Surgery Through Internet of Things - p. 74 13. Chapter 5: IoT in Agriculture Investigation on Plant Diseases and Nutrient Level Using Image Analysis Techniques - p. 116 14. Chapter 6: Internet of Things in Healthcare: A Brief Overview - p. 130 15. Chapter 7: Artificial Intelligence Based Diagnostics, Therapeutics and Applications in Biomedical Engineering and Bioinformatics - p. 160 16. Chapter 8: Why Big Data and What Is It? Basic to Advanced Big Data Journey for the Medical Industry - p. 187 17. Chapter 9: Internet of Things Application in Life Sciences - p. 212 18. Chapter 10: Emerging Trends of IoT-Based Applications in Day-to-Day Life - p. 233 19. Chapter 11: Combining Predictive Analytics and Artificial Intelligence With Human Intelligence in IoT-Based Image-Guided Surgery - p. 257 20. Chapter 12: Internet of Things Technologies - p. 289 21. Chapter 13: Medical Big Data Mining and Processing in e-Healthcare - p. 322 22. Index - p. 341
