book

Internet of Things in Biomedical Engineering

by Valentina Emilia Balas, Le Hoang Son, Sudan Jha, Manju Khari, Raghvendra Kumar

June 2019

Intermediate to advanced

379 pages

12h 14m

English

Academic Press

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Key features
Abstract1.1 Introduction1.2 Related Studies1.3 Methodology1.4 Conclusion
Abstract2.1 Introduction2.2 Computer Applications in Anthropology2.3 Digital Ethnography2.4 Virtual Anthropology2.5 Conclusion

Abstract3.1 Introduction3.2 Some Notions of Fuzzy Logic3.3 A Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine3.4 An Inference Model of Diagnosis of Disease Syndromes in Traditional Oriental Medicine3.5 An Example of Combining Positive and Negative Rules3.6 Application of the Model for Developing a System of Eight Syndrome Diagnosis3.7 ConclusionsAppendix 3.1 Examples of Basic symptoms for Eight SyndromesAppendix 3.2 Basic Rules for Eight Syndrome Diagnosis
Abstract4.1 Introduction4.2 Literature Review4.3 Evolution4.4 Performance Evaluation of IGS4.5 System Functionality and Components4.6 Software4.7 IGS Tracking tools4.8 Imaging Modalities4.9 Applications of IGS4.10 IGS Navigation Systems4.11 Merits and Demerits of IGS4.12 Conclusion
Abstract5.1 Introduction to the Use of IoT in Agriculture5.2 Background5.3 Current Situation5.4 Pioneer Works5.5 Technology Advancements in Smart Farming5.6 Future Directions5.7 Conclusions
Abstract6.1 Introduction6.2 Brief History6.3 Applications and Technologies6.4 Real-Time Health Data Centers Monitoring Using Big Data Technology6.5 Neuroergonomics6.6 Cloud Computing6.7 Value of Information6.8 Recommendations and Benchmarks6.9 Innovative IoT Applications in Healthcare6.10 Internet of Health Things and Artificial Intelligence6.11 Medical IoT in Use Today6.12 Conclusion
Abstract7.1 Introduction7.2 Principal Disciplines of Artificial Intelligence and Computer Vision7.3 Artificial Intelligence and Computer Vision: Biomedical Applications and Solutions7.4 Conclusion
Abstract8.1 Introduction8.2 Related Work8.3 Big Data and Medical Big Data8.4 Medical Big Data Analytics8.5 Applications of Medical Big Data8.6 Challenges for Medical Big Data8.7 Conclusion
Abstract9.1 Introduction9.2 Background/Related Work9.3 Sensors Used in IoT9.4 Applications in Life Sciences9.5 Benefits of IoT in Life Sciences9.6 Challenges of IoT in Life Sciences9.7 Conclusion
Abstract10.1 Introduction10.2 Internet of Things—A Buzzword for the New Technological Era10.3 Components of IoT10.4 Technologies Used in IoT-Based Applications10.5 Several Applications and IoT10.6 Promising IoT-Based Products or Projects in Healthcare or Biomedical Engineering Areas10.7 Securing IoT-Based Biomedical Devices10.8 Conclusions and Future Work10.9 Appendix
Abstract11.1 Introduction11.2 Evolution in Medical Field and Surgical Procedures11.3 Role of New-Age Technologies in Clinical Surgery11.4 Proposed Model11.5 Conclusion
Abstract12.1 Introduction12.2 IoMT System Architecture12.3 Applications: Smart Healthcare and Wearables12.4 IoT Healthcare Solutions12.5 Some Other Use Cases of IoT in the Healthcare industry12.6 Conclusion
Abstract13.1 Introduction13.2 Related Work13.3 Big Data Sources13.4 Big Data Mining and Processing13.5 Proposed System13.6 Results and Discussion13.7 Conclusions and Future Work