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Internet of Things in Biomedical Engineering
The latest research and technologies for the Internet of Things (IoT) in biomedical engineering, healthcare and clinical applications
Valentina Emilia Balas (Edited by), Le Hoang Son (Edited by), Sudan Jha (Edited by), Manju Khari (Edited by), Raghvendra Kumar (Edited by)
9780128173565
Paperback, published 15 June 2019
379 pages
23.4 x 19 x 2.4 cm, 0.72 kg
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. CLOUDFALL 1.0: A Smart Low Cost IoT based Fall Detection Sensor Node 2. Computer Assisted Anthropology 3. Modeling A Fuzzy System for Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine Combining Positive and Negative Rules 4. Image guided surgery through IoT 5. IoT in Agriculture-Investigation on plant diseases and nutrient level using Image Analysis Techniques 6. Internet of Things in Healthcare: A Brief Overview 7. Artificial Intelligence based diagnostics, therapeutics and applications in Biomedical engineering and bioinformatics 8. Why Big Data, And What It Is: Basic To Advance Big Data Journey for Medical Industry 9. Internet of Things Application in Life Sciences 10. Emerging Trends of IoT based Applications in Day to Day Life 11. Combining Predictive analytics and Artificial intelligence with human intelligence in IoT based image guided surgery 12. Internet of Things Technologies 13. Medical Big Data Mining and Processing in E-Healthcare
Subject Areas: Biomedical engineering [MQW]
