Internet of Things in Biomedical Engineering

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 analysisIncludes discussions on a variety of IoT applications and medical information systemsIncludes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

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