Exploiting Wireless Communication Using Software-defined Radio Frequency Sensing For E-health APPLICATIONS-Reference-Cited by-同舟云学术

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Exploiting Wireless Communication Using Software-defined Radio Frequency Sensing For E-health APPLICATIONS

Published:2023-12 Issue:4 Volume:7 Page:42-48
ISSN:2471-2825
Container-title:IEEE Communications Standards Magazine
language:
Short-container-title:IEEE Comm. Stand. Mag.

Author:

AbuAli Najah¹,Khan Muhammad Bilal¹,Hayajneh Mohammad¹,Rehman Mubashir²

Affiliation:

1. United Arab Emirates University,UAE

2. COMSATS University,Islamabad,Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Management of Technology and Innovation,Law,Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/7886829/10352978/10352981.pdf?arnumber=10352981

Reference15 articles.

1. RF Sensing in the Internet of Things: A General Deep Learning Framework

2. RF Sensing Technologies for Assisted Daily Living in Healthcare: A Comprehensive Review

3. Small-Scale Perception in Medical Body Area Networks

4. Enhancing RF Sensing with Deep Learning: A Layered Approach

5. Non-Contact Smart Sensing of Physical Activities during Quarantine Period Using SDR Technology

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