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210123 ||| eng |
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|a 9780128173572
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|a 0128173572
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|a R856
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|a Balas, Valentina Emilia
|e editor
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|a Internet of things in biomedical engineering
|c edited by Valentina E. Balas, Le Hoang Son, Sudan Jha, Manju Khari, Raghvendra Kumar
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260 |
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|a London, United Kingdom
|b Academic Press
|c 2019
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300 |
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|a 1 online resource
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|a Includes bibliographical references and index
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|a CLOUDFALL 1.0 : a smart, low-cost, IoT-based fall-detection sensor node / Vikram Puri, Kalpna Gautam, Jolanda G. Tromp, Chung Van Le, Nidhi Sachdeva and Tri Huu Minh Tran -- Computer-assisted anthropology / Siddhant Bagga, Sarthak Gupta and Deepak Kumar Sharma -- Modeling a fuzzy system for diagnosis of disease syndromes of traditional Vietnamese medicine combining positive and negative rules / Nguyen Hoang Phuong and Anh Nguyen -- Image-guided surgery through internet of things / S. Vijayalakshmi and Savita -- IoT in agriculture investigation on plant diseases and nutrient level using image analysis techniqures / E. Suganya, S. Sountharrajan, Shishir Kumar Shandilya, and M. Karthiga -- Internet of things in healthcare : a brief overview / Avishek Choudhur, Jyotir Moy Chatterjee, and Shankey Garg -- Artificial intelligence based diagnostics, therapeutics and applications in biomedical engineering and bioinformatics / Kartik Krishna Bhardwaj, Siddhant Banyal, and Deepak Kumar Sharma -- Why big data and what is it? : Basic to advanced big data journey for the medical industry / Neha Sharma, Malini M. Patil, and Madhavi Shamkuwar -- Internet of things application in life sciences / Sarbagya Ratna Shakya and Sudan Jha -- Emerging trends of IoT-based applications in day-to-day life / Sharmistha Dey -- Combining predictive analytics and artificial intelligence with human intelligence in IoT-based image-guided surgery / D. Praveen Dominic, D. Ganesh Gopal, and A. Mohamed Abbas -- Internet of things technologies / A. Bharathi, B. Balamurugan, K. Chokkanathan, R. Sathiyaraj and Abhishek Sing -- Medical big data mining and processing in e-healthcare / S. Rakesh Kumar, N. Gayathri, S. Muthuramalingam, B. Balamurugan, C. Ramesh and M.K. Nallakaruppan
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653 |
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|a Médecine / Informatique
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653 |
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|a Biomedical engineering / http://id.loc.gov/authorities/subjects/sh85014237
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653 |
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|a Medical Informatics Applications
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653 |
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|a Internet des objets
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653 |
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|a Internet of things / http://id.loc.gov/authorities/subjects/sh2013000266
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|a Internet of Things
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|a biomedical engineering / aat
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|a Biomedical Engineering / methods
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|a Medical Informatics Computing
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|a Biomedical engineering / fast
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|a Génie biomédical
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653 |
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|a Internet of things / fast
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1 |
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|a Son, Le Hoang
|e editor
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700 |
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|a Jha, Sudan
|e editor
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|a Khari, Manju
|e editor
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041 |
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7 |
|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|a GBB9B2285
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|a GBB9B3546
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|z 9780128173565
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|z 0128173564
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|z 9780128173572
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|z 0128173572
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|u https://learning.oreilly.com/library/view/~/9780128173572/?ar
|x Verlag
|3 Volltext
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082 |
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|a 610.28
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|a 620
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|a 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.
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