Automated transtibial prosthesis alignment: A systematic review
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...
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| Format: | Review |
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Elsevier B.V.
2025
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| _version_ | 1833413372044902400 |
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| author | Khamis T. Khamis A.A. Al Kouzbary M. Al Kouzbary H. Mokayed H. Razak N.A.A. Osman N.A.A. |
| author2 | 57900244500 |
| author_facet | 57900244500 Khamis T. Khamis A.A. Al Kouzbary M. Al Kouzbary H. Mokayed H. Razak N.A.A. Osman N.A.A. |
| author_sort | Khamis T. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. ? 2024 Elsevier B.V. |
| format | Review |
| id | my.uniten.dspace-36280 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | my.uniten.dspace-362802025-03-03T15:41:47Z Automated transtibial prosthesis alignment: A systematic review Khamis T. Khamis A.A. Al Kouzbary M. Al Kouzbary H. Mokayed H. Razak N.A.A. Osman N.A.A. 57900244500 57771696300 57202956887 57216612501 35085400100 42261165400 57244856600 Algorithms Artificial Limbs Humans Machine Learning Prosthesis Design Prosthesis Fitting Tibia 'current Alignment system Automated alignments Automated process Below-knee prosthesis Machine learning algorithms Manual identification Prosthetic alignment Systematic Review Trans-tibial prosthesis algorithm automation biomechanics human machine learning prosthetic alignment Review systematic review limb prosthesis machine learning procedures prosthesis design prosthetic fitting surgery tibia Adversarial machine learning 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. ? 2024 Elsevier B.V. Final 2025-03-03T07:41:47Z 2025-03-03T07:41:47Z 2024 Review 10.1016/j.artmed.2024.102966 2-s2.0-85202159952 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202159952&doi=10.1016%2fj.artmed.2024.102966&partnerID=40&md5=9d1a2857e4591eb0ce36bdfdafa202fc https://irepository.uniten.edu.my/handle/123456789/36280 156 102966 Elsevier B.V. Scopus |
| spellingShingle | Algorithms Artificial Limbs Humans Machine Learning Prosthesis Design Prosthesis Fitting Tibia 'current Alignment system Automated alignments Automated process Below-knee prosthesis Machine learning algorithms Manual identification Prosthetic alignment Systematic Review Trans-tibial prosthesis algorithm automation biomechanics human machine learning prosthetic alignment Review systematic review limb prosthesis machine learning procedures prosthesis design prosthetic fitting surgery tibia Adversarial machine learning Khamis T. Khamis A.A. Al Kouzbary M. Al Kouzbary H. Mokayed H. Razak N.A.A. Osman N.A.A. Automated transtibial prosthesis alignment: A systematic review |
| title | Automated transtibial prosthesis alignment: A systematic review |
| title_full | Automated transtibial prosthesis alignment: A systematic review |
| title_fullStr | Automated transtibial prosthesis alignment: A systematic review |
| title_full_unstemmed | Automated transtibial prosthesis alignment: A systematic review |
| title_short | Automated transtibial prosthesis alignment: A systematic review |
| title_sort | automated transtibial prosthesis alignment: a systematic review |
| topic | Algorithms Artificial Limbs Humans Machine Learning Prosthesis Design Prosthesis Fitting Tibia 'current Alignment system Automated alignments Automated process Below-knee prosthesis Machine learning algorithms Manual identification Prosthetic alignment Systematic Review Trans-tibial prosthesis algorithm automation biomechanics human machine learning prosthetic alignment Review systematic review limb prosthesis machine learning procedures prosthesis design prosthetic fitting surgery tibia Adversarial machine learning |
| url_provider | http://dspace.uniten.edu.my/ |