Body Area Networks: Smart IoT and Big Data for Intelligent Health Management
14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings
Editors: Mucchi, L., Matti, H., Jayousi, S., Morosi, S. (Eds.)
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- About this book
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This book constitutes the refereed post-conference proceedings of the 14th EAI International Conference on Body Area Networks, BodyNets 2019, held in Florence, Italy, in October 2019.
The 27 papers presented were selected from 54 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective.
- Table of contents (30 chapters)
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A Portable Continuous Wave Radar System to Detect Elderly Fall
Pages 3-11
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A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices
Pages 12-23
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Vertical Hand Position Estimation with Wearable Differential Barometery Supported by RFID Synchronization
Pages 24-33
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The Smart Insole: A Pilot Study of Fall Detection
Pages 37-49
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Arrhythmia Detection with Antidictionary Coding and Its Application on Mobile Platforms
Pages 50-67
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Table of contents (30 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Body Area Networks: Smart IoT and Big Data for Intelligent Health Management
- Book Subtitle
- 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings
- Editors
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- Lorenzo Mucchi
- Hämäläinen Matti
- Sara Jayousi
- Simone Morosi
- Series Title
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Series Volume
- 297
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- eBook ISBN
- 978-3-030-34833-5
- DOI
- 10.1007/978-3-030-34833-5
- Softcover ISBN
- 978-3-030-34832-8
- Series ISSN
- 1867-8211
- Edition Number
- 1
- Number of Pages
- XII, 410
- Number of Illustrations
- 28 b/w illustrations, 204 illustrations in colour
- Topics
