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Automated transtibial prosthesis alignment: A systematic review
Taha Khamis1, Abd Alghani Khamis1, Mouaz Al Kouzbary1
1Center for Applied Biomechanics, Department of Biomedical Engineering, University of Malaya, Kuala Lumpur, Malaysia.
Artificial Intelligence in Medicine
|August 28, 2024
Summary
Automated transtibial prosthesis alignment systems are crucial for improving accuracy and reducing errors in prosthetic care for individuals with transtibial amputation. This review highlights the need for advanced solutions and identifies research gaps.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Prosthetics and Orthotics
Background:
- Manual identification of prosthesis alignment changes lacks reliability.
- Automated processes are necessary to overcome the limitations of manual alignment.
- Transtibial amputation necessitates reliable and accurate prosthetic alignment.
Purpose of the Study:
- To critically analyze the progress and challenges in automating transtibial prosthesis alignment.
- To identify cutting-edge research and methodologies in automated alignment.
- To guide future research and development in this field.
Main Methods:
- Systematic review of relevant studies from major electronic databases.
- Inclusion of highly relevant studies from an initial pool of 2111 records.
- Analysis of diverse approaches including machine learning algorithms and alignment tools.
Main Results:
- Automated alignment systems show immense potential for enhancing accuracy.
- Significant reduction in human error is achievable with automated systems.
- Identified limitations in current studies necessitate further research.
Conclusions:
- Automated transtibial prosthesis alignment is essential for improved patient outcomes.
- Future research should address identified limitations and explore alternative machine learning algorithms.
- This review provides guidance for advancing automated alignment technology.
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