Body Area Networks. Smart IoT and Big Data for Intelligent Health Management by Lorenzo Mucchi & Matti Hämäläinen & Sara Jayousi & Simone Morosi

Author:Lorenzo Mucchi & Matti Hämäläinen & Sara Jayousi & Simone Morosi
Language: eng
Format: epub
ISBN: 9783030348335
Publisher: Springer International Publishing

(2)Univ. Lille, CNRS, Centrale Lille, ISEN, Univ. Valenciennes, UMR 8520 - IEMN, 59000 Lille, France

(3)University of California Berkeley, Berkeley, CA 94704, USA

(4)Ghent University, imec, Department of Information Technology, 9052 Ghent, Belgium

Robin Benarrouch

Email: [email protected]

Abstract

One approach to enable wireless communication between body-worn nodes is to use capacitive body-coupled communication (C-BCC). This technique, which uses capacitive electrodes as transducing elements, has previously been demonstrated at relatively low frequencies (<200 MHz) and hence also low bandwidths. This work presents a theoretical analysis of wireless C-BCC, between body worn electrodes at higher frequencies (420–510 MHz), offering the potential for higher data rates. The theory is confirmed both by numerical simulations (performed on a human body phantom), and actual wireless communication between two prototypes on the arm of a real human.

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