Mizmizi / Pierobon / Magarini | Body Area Networks. Smart IoT and Big Data for Intelligent Health Management | Buch | 978-3-031-72523-4 | sack.de

Buch, Englisch, Band 524, 294 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Mizmizi / Pierobon / Magarini

Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024, Proceedings
2025
ISBN: 978-3-031-72523-4
Verlag: Springer Nature Switzerland

18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, February 5-6, 2024, Proceedings

Buch, Englisch, Band 524, 294 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

ISBN: 978-3-031-72523-4
Verlag: Springer Nature Switzerland


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.

Mizmizi / Pierobon / Magarini Body Area Networks. Smart IoT and Big Data for Intelligent Health Management jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- 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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.