ShopSpell

Body Area Networks. Smart IoT and Big Data for Intelligent Health Management: 18th EAI International Conference, BODYNETS 2024-A, Milan, Italy, Februa [Paperback]

$65.99     $79.99   18% Off      (Free Shipping)
100 available
  • Category: Books (Medical)
  • ISBN-10:  3031725239
  • ISBN-10:  3031725239
  • ISBN-13:  9783031725234
  • ISBN-13:  9783031725234
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3031725239-11-SPRI
  • SKU:  3031725239-11-SPRI
  • Pages:  294
  • Pages:  294
  • Item ID: 107058510
  • List Price: $79.99
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 11 to Oct 13
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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.

.- 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 Tral“"

Add Review