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|a 10.1007/978-3-030-64991-3
|2 doi
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|z (OCoLC)1227062721
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|a EAI International Conference on Body Area Networks
|n (15th :
|d 2020 :
|c Online)
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|a Body area networks :
|b Smart IoT and Big Data for Intelligent Health : 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings /
|c Muhammad Mahtab Alam, Matti Hämäläinen, Lorenzo Mucchi, Imran Khan Niazi, Yannick Le Moullec (eds.).
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|a BODYNETS 2020
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|a Cham :
|b Springer,
|c 2020.
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|a 1 online resource (234 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
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|b PDF
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|a Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;
|v 330
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500 |
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|a International conference proceedings.
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|a "Initially planned to take place in Tallinn, Estonia, the outbreak of the COVID-19 pandemic meant that the conference (like many others), took place as an online event on October 21, 2020"--Preface
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|a Intro -- Preface -- Organization -- Contents -- Connectivity and Radio Propagation -- Providing Connectivity to Implanted Electronics Devices: Experimental Results on Optical Communications Over Biological Tissues with Comparisons Against UWB -- 1 Introduction -- 2 Optical Communications Through Biological Tissues -- 3 Radio, Acoustic and Optical Wireless Communications in Biological Tissues: A Comparison -- 3.1 Radio -- 3.2 Acoustic -- 3.3 Optical -- 4 Experimental Results -- 4.1 Optical Measurements -- 4.2 UWB Measurements -- 5 Discussion -- 6 Conclusion -- References
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|a On the UWB in-Body Propagation Measurements Using Pork Meat -- 1 Introduction -- 2 Study Case -- 2.1 Simulations -- 2.2 Measurements -- 3 Simulation Based Antenna Verification -- 4 Simulation Based Comparison Between the Channel Characteristics Obtained Using Human and Pork Tissues -- 5 Measurement Results -- 5.1 Channel Comparison with Different Meat Pieces -- 6 Impact of the Temperature -- 7 Conclusions -- References -- Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics -- 1 Introduction -- 2 Study Case -- 2.1 Directive on-Body Antenna
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|a 2.2 Simulation Models -- 3 Power Flow Analysis -- 4 Channel Characteristics Analysis -- 5 Conclusions -- References -- UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms -- 1 Introduction -- 2 Theoretical Framework -- 3 Methodology -- 3.1 Ideal Image Construction -- 3.2 Artefact Removal Methods -- 3.3 Comparison Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- BSNCloud: Cloud-Centered Wireless Body Sensor Data Collection, Streaming, and Analytics System -- 1 Introduction -- 2 Related Works -- 3 System Architecture
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|a 4 Data Aggregator Design -- 4.1 Data Aggregator Functions -- 4.2 Data Streaming -- 4.3 Real-Time Data Analysis -- 5 Cloud Server Design -- 6 Implementation and Performance Evaluation -- 6.1 Android App -- 6.2 Web Portal -- 6.3 Experimental Results -- 7 Summary -- References -- Secure Communication Networks for Smart-Health -- Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System -- 1 Introduction -- 2 Related Work -- 3 Pacemaker Background -- 3.1 Pacing -- 3.2 Monitoring and Alerting -- 3.3 Pacemaker Security Countermeasures -- 4 UPPAAL Probabilistic Timed Automata
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|a 5 Pacemaker Monitoring and Dynamic Alert Model -- 5.1 Patient Profiles -- 5.2 Modeling Alerting Cost, Parameters and Constants -- 5.3 Pacemaker Model -- 5.4 Pacemaker Model Analysis -- 6 Conclusions -- References -- Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump -- 1 Introduction -- 2 Testbed -- 2.1 Information Carriers -- 2.2 Transmission Channel -- 2.3 Transmitter -- 2.4 Receiver -- 3 Data Transmission -- 3.1 Encoding -- 3.2 Decoding -- 4 Results -- 4.1 Injection Volume Correlation -- 4.2 Data Transmission
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|a 5 Conclusion.
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|a Includes author index.
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|a 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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|a Online resource; title from PDF title page (SpringerLink, viewed February 18, 2021).
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|a Body area networks (Electronics)
|v Congresses.
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|a Body area networks (Electronics)
|2 fast
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|a Computer organization
|2 fast
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|a Computers
|2 fast
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|a Machine learning
|2 fast
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|a Medical informatics
|2 fast
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|a proceedings (reports)
|2 aat
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|a Conference papers and proceedings
|2 fast
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congrès.
|2 rvmgf
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|a Alam, Muhammad Mahtab.
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1 |
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|a Hamalainen, Matti,
|d 1967-
|1 https://id.oclc.org/worldcat/entity/E39PCjF44GY3rwwytGBxbbQVkC
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|a Mucchi, Lorenzo.
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|a Niazi, Imran Khan.
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|a Le Moullec, Yannick.
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|i has work:
|a Body area networks (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGKY9PJm3DVMwbpPVGYPFC
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
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|i Print version:
|a Alam, Muhammad Mahtab.
|t Body Area Networks. Smart IoT and Big Data for Intelligent Health : 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings.
|d Cham : Springer International Publishing AG, ©2021
|z 9783030649906
|
830 |
|
0 |
|a Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;
|v 330.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-64991-3
|y Click for online access
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|a SPRING-COMP2020
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|a 92
|b HCD
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