Khamis, Taha and Khamis, Abd Alghani and Al Kouzbary, Mouaz and Al Kouzbary, Hamza and Mokayed, Hamam and Abd Razak, Nasrul Anuar and Abu Osman, Noor Azuan (2024) Automated transtibial prosthesis alignment: A systematic review. Artificial Intelligence in Medicine, 156. p. 102966. ISSN 0933-3657, DOI https://doi.org/10.1016/j.artmed.2024.102966.
Full text not available from this repository.Abstract
This comprehensive systematic review critically analyzes the current progress and challenges in automating transtibial prosthesis alignment. The manual identification of alignment changes in prostheses has been found to lack reliability, necessitating the development of automated processes. Through a rigorous systematic search across major electronic databases, this review includes the highly relevant studies out of an initial pool of 2111 records. The findings highlight the urgent need for automated alignment systems in individuals with transtibial amputation. The selected studies represent cutting-edge research, employing diverse approaches such as advanced machine learning algorithms and innovative alignment tools, to automate the detection and adjustment of prosthesis alignment. Collectively, this review emphasizes the immense potential of automated transtibial prosthesis alignment systems to enhance alignment accuracy and significantly reduce human error. Furthermore, it identifies important limitations in the reviewed studies, serving as a catalyst for future research to address these gaps and explore alternative machine learning algorithms. The insights derived from this systematic review provide valuable guidance for researchers, clinicians, and developers aiming to propel the field of automated transtibial prosthesis alignment forward.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC), Malaysia (NTIS 098773) |
| Uncontrolled Keywords: | Transtibial prosthesis; Automated alignment; Alignment; Below knee prosthesis; Prosthetic alignment |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 12 Feb 2025 06:59 |
| Last Modified: | 12 Feb 2025 06:59 |
| URI: | http://eprints.um.edu.my/id/eprint/47502 |
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