Monitoring Bone Healing: Integrating RF Sensing With AI

Monitoring Bone Healing: Integrating RF Sensing With AI

This study presents the development of an advanced machine learning model based on a two-dimensional (2D) Radio Frequency (RF) sensing framework for refined monitoring of femoral bone fractures. Utilising MATLAB simulations, we created a comprehensive dataset enhanced with variations in bone diamete...

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Bibliographic Details
Main Authors: Ahmad Aldelemy, Ebenezer Adjei, Prince O. Siaw, Ali Al-Dulaimi, Viktor Doychinov, Nazar T. Ali, Rami Qahwaji, John G. Buckley, Pete Twigg, Raed A. Abd-Alhameed
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
RF sensing
artificial intelligence
bone fracture monitoring
machine learning
non-invasive assessment
healing process
Online Access:https://ieeexplore.ieee.org/document/10818430/
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https://ieeexplore.ieee.org/document/10818430/

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