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The papers in this proceeding discuss current and future trends in
wearable communications and personal health management through the
use of wireless body area networks (WBAN). The authors posit new
technologies that can provide trustworthy communications mechanisms
from the user to medical health databases. The authors discuss not
only on-body devices, but also technologies providing information
in-body. Also discussed are dependable communications combined with
accurate localization and behavior analysis, which will benefit
WBAN technology and make the healthcare processes more effective.
The papers were presented at the 13th EAI International Conference
on Body Area Networks (BODYNETS 2018), Oulu, Finland, 02-03 October
2018.
The papers in this proceeding discuss current and future trends in
wearable communications and personal health management through the
use of wireless body area networks (WBAN). The authors posit new
technologies that can provide trustworthy communications mechanisms
from the user to medical health databases. The authors discuss not
only on-body devices, but also technologies providing information
in-body. Also discussed are dependable communications combined with
accurate localization and behavior analysis, which will benefit
WBAN technology and make the healthcare processes more effective.
The papers were presented at the 13th EAI International Conference
on Body Area Networks (BODYNETS 2018), Oulu, Finland, 02-03 October
2018.
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Body Area Networks. Smart IoT and Big Data for Intelligent Health - 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings (Paperback, 1st ed. 2020)
Muhammad Mahtab Alam, Matti Hamalainen, Lorenzo Mucchi, Imran Khan Niazi, Yannick Le Moullec
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R1,580
Discovery Miles 15 800
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Ships in 10 - 15 working days
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This book constitutes the refereed post-conference proceedings of
the 15th International Conference on Body Area Networks, BodyNets
2020, held in Tallinn, Estonia, in October 2020. The conference was
held virtually due to the COVID-19 pandemic.The 15 papers presented
were selected from 30 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.
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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 (Paperback, 1st ed. 2019)
Lorenzo Mucchi, Matti Hamalainen, Sara Jayousi, Simone Morosi
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R1,621
Discovery Miles 16 210
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Ships in 10 - 15 working days
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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.
Fundamentals of MEG and EEG: Biophysics, Instrumentation, and Data
Analysis gives graduate students and researchers a technical
understanding of the fundamentals of MEG and EEG that will enable
them to gain expertise in the state-of-the-art, understand the
generation, measurement and modeling of electromagnetic brain
signals, understand the relationship of MEG/EEG with other brain
imaging methods, design MEG/EEG measurement systems and evaluate
their performance, and develop and evaluate data analysis methods.
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