Artificial Neural Networks for Personalized Lower Limb Prosthetic Socket Design: A Proof of Concept

Prosthetic design has been developing over the course of the entire human history; with different techniques and technologies being integrated in the process. With the current rapid evolution of machine learning techniques, namely artificial neural networks, an opportunity emerges to further elevate the entire design process, making it faster and more accurate. This study used an innovative measurement approach as well as utilizing a machine learning algorithm namely artificial neural network, which resulted in dimensions with an average of 98.72% accuracy.

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Publication Details

Published
2024-10-19
DOI
https://doi.org/10.1109/niles63360.2024.10753156
Citations
2
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.37
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article

Artificial Neural Networks for Personalized Lower Limb Prosthetic Socket Design: A Proof of Concept

Mohamed W. A. Ramadan, Amir R. Ali, Mostafa H. Abdelhafeez
2 citations
Prosthetics and Rehabilitation Robotics
0.37
article

Artificial Neural Networks for Personalized Lower Limb Prosthetic Socket Design: A Proof of Concept

Mohamed W. A. Ramadan, Amir R. Ali, Mostafa H. Abdelhafeez
article en
2 citations

Abstract

Prosthetic design has been developing over the course of the entire human history; with different techniques and technologies being integrated in the process. With the current rapid evolution of machine learning techniques, namely artificial neural networks, an opportunity emerges to further elevate the entire design process, making it faster and more accurate. This study used an innovative measurement approach as well as utilizing a machine learning algorithm namely artificial neural network, which resulted in dimensions with an average of 98.72% accuracy.

German University in Cairo (EG)
Openalex Percentile: Top 42%
Prosthetics and Rehabilitation Robotics
0.37
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