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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mucchi, Lorenzo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hämäläinen, Matti (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jayousi, Sara (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Morosi, Simone (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 297
• Θέματα: Health informatics.; Computer organization.; Coding theory.; Information theory.; Health Informatics.; Computer Systems Organization and Communication Networks.; Coding and Information Theory.
• Φυσική περιγραφή: XII, 410 p. 232 illus., 204 illus. in color. online resource.
• ISBN: 9783030348335
• ISSN: 1867-8211 ;
• DOI: 10.1007/978-3-030-34833-5

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.