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020 _a9783030649913
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024 7 _a10.1007/978-3-030-64991-3
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082 0 4 _a610.285
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245 1 0 _aBody Area Networks. Smart IoT and Big Data for Intelligent Health
_h[electronic resource] :
_b15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings /
_cedited by Muhammad Mahtab Alam, Matti Hämäläinen, Lorenzo Mucchi, Imran Khan Niazi, Yannick Le Moullec.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXII, 228 p. 114 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
_x1867-822X ;
_v330
505 0 _aConnectivity and Radio Propagation -- Providing Connectivity to Implanted Electronics Devices: Experimental Results on Optical Communications over Biological Tissues with Comparisons against UWB -- On the UWB in-body propagation measurements using pork meat -- Detection of brain hemorrhage in white matter using analysis of radio channel characteristics UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms -- BSNCloud: Cloud-centered Wireless Body Sensor Data Collection, Streaming, and Analytics System -- Secure Communication Networks for Smart-Health -- Model-Based Analysis of Secure and Patient-Dependent Pacemaker Remote Monitoring System -- Amplitude Modulation in a Molecular Communication -- Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump -- An Enhanced DNA Sequence Table for Improved Security and Reduced Computational Complexity of DNA Cryptography -- Solving Generic Decision Problems by in-Message -- Computation in DNA-Based Molecular Nanonetworks -- A model for electro-chemical neural communication -- Connected Wearables Sensors for Healthcare Applications -- Activity Monitoring Using Smart Glasses: Exploring the Feasibility of Pedometry on Head Mounted Displays -- Real-time Human Activity Recognition Using Textilebased Sensors -- Extraction of respiratory signals and respiratory rates from the photoplethysmogram -- An Ultra-Low-Power Integrated Heartbeat Detector for Wearable Sensors -- Anxiety Detection Leveraging Mobile Passive Sensing.
520 _aThis 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.
650 0 _aMedical informatics.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aMachine learning.
650 1 4 _aHealth Informatics.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aMachine Learning.
700 1 _aAlam, Muhammad Mahtab.
_eeditor.
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700 1 _aHämäläinen, Matti.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMucchi, Lorenzo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNiazi, Imran Khan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLe Moullec, Yannick.
_eeditor.
_4edt
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030649906
776 0 8 _iPrinted edition:
_z9783030649920
830 0 _aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
_x1867-822X ;
_v330
856 4 0 _uhttps://doi.org/10.1007/978-3-030-64991-3
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