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Body area networkssmart IoT and big data for intelligent health management : 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Body area networksedited by Marouan Mizmizi ... [et al.].
Reminder of title:	smart IoT and big data for intelligent health management : 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024 : proceedings /
remainder title:	BODYNETS 2024-A
other author:	Mizmizi, Marouan.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiii, 294 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Body area networks (Electronics)
Online resource:	https://doi.org/10.1007/978-3-031-72524-1
ISBN:	9783031725241$q(electronic bk.)

Body area networkssmart IoT and big data for intelligent health management : 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024 : proceedings /
Body area networkssmart IoT and big data for intelligent health management : 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024 : proceedings /[electronic resource] :BODYNETS 2024-Aedited by Marouan Mizmizi ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xiii, 294 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering,5241867-822X ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;130..

Implantable devices and In-Body Communication. -- A Study on the Implant Interface of Brain-Computer Interface Technology in the THz band. -- Implant and In-Body Communications: the ETSI SmartBAN Vision. -- Experimental Evaluation of Initial Connection Time with Interference in Body Area Network. -- Performance Improvement in Channel-estimated Implant Communication by Spatial Transmit Diversity and Signal Pre-emphasis Technique. -- Body Area Networks and Transmission Technologies. -- Wireless data transfer for Implanted Real-time Peripheral Nerve Interfaces. -- Design Options for Aggregators for In-body Networks. -- Visible light communications for implantable medical devices. -- Spectral Features-based Machine Learning Approach to Detect SARS-COV-2 Infection Using Cough Sound. -- Smart Healthcare Applications. -- Smart Healthcare System for Detection of Diabetic Retinopathy using Transfer Learning. -- A Novel Non-invasive Device in the Management of Type 2 Diabetes. -- Automatic Voice Classification Of Autistic Subjects. -- Channel Transfer Function Estimation of a Molecular Electrical Communication based on Redox. -- Real-Time and on-the-Edge Multiple Channel Capacitive and Inertial Fusion-Based Glove. -- Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws. -- Finding beauty in mobile EEG when visiting art exhibitions. -- An Unsupervised Approach to Speed Up the Training of Multiple Models on Biomedical KGs. -- Privacy and Security in Wireless Body Area Networks. -- Performance Evaluation of Distance-based Random Mean Shift Clustering and Humpback Whale Optimization Algorithm for Sink node placement in WBAN. -- Ultrawideband on-body area network for navigational support. -- Healthcare Data Governance, Privacy, and Security - A Conceptual Framework. -- Towards Robust IoT Defense: Comparative Statistics of Attack Detection in Resource-Constrained Scenarios.

This book constitutes the refereed post-conference proceedings from the 18th EAI International Conference on Body Area Networks, BODYNETS 2024-A, held in Milan, Italy, in February 5-6, 2024. The 20 full papers presented here were carefully reviewed and selected from 48 submissions. These papers have been organized in the following topical sections: Implantable devices and In-body communication; Body area networks and transmission technologies; Smart healthcare applications; Privacy and security in wireless body area networks.

ISBN: 9783031725241$q(electronic bk.)

Standard No.: 10.1007/978-3-031-72524-1doiSubjects--Topical Terms:

618402
Body area networks (Electronics)

LC Class. No.: TK5103.35

Dewey Class. No.: 004.68

Body area networkssmart IoT and big data for intelligent health management : 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024 : proceedings /
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