Internet of Things in Biomedical Engineering
- 6h 38m
- Le Hoang Son, Manju Khari, Raghvendra Kumar (eds), Sudan Jha, Valentina E. Balas
- Elsevier Science and Technology Books, Inc.
- 2019
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.
- Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications
- Discusses big data and data mining in healthcare and other IoT based biomedical data analysis
- Includes discussions on a variety of IoT applications and medical information systems
- Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT
In this Book
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About the Book
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CLOUDFALL 1.0—A Smart, Low-Cost, IoT-Based Fall-Detection Sensor Node
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Computer-Assisted Anthropology
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Modeling a Fuzzy System for Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine Combining Positive and Negative Rules
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Image-Guided Surgery Through Internet of Things
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IoT in Agriculture Investigation on Plant Diseases and Nutrient Level Using Image Analysis Techniques
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Internet of Things in Healthcare—A Brief Overview
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Artificial Intelligence Based Diagnostics, Therapeutics and Applications in Biomedical Engineering and Bioinformatics
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Why Big Data and What is It? Basic to Advanced Big Data Journey for the Medical Industry
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Internet of Things Application in Life Sciences
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Emerging Trends of IoT-Based Applications in Day-to-Day Life
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Combining Predictive Analytics and Artificial Intelligence with Human Intelligence in IoT-Based Image-Guided Surgery
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Internet of Things Technologies
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Medical Big Data Mining and Processing in e-Healthcare
