Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy
Abstract Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is essential for the individualized treatment of motor disorders such as cerebral palsy (CP). The primary contribution of this study is the introduction of a multimodal fuzzy logic system-based gai...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85172-2 |
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| author | Saleh Massoud Ebrahim Ismaiel Rasha Massoud Leila Khadour Moustafa Al-mawaldi |
| author_facet | Saleh Massoud Ebrahim Ismaiel Rasha Massoud Leila Khadour Moustafa Al-mawaldi |
| author_sort | Saleh Massoud |
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| description | Abstract Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is essential for the individualized treatment of motor disorders such as cerebral palsy (CP). The primary contribution of this study is the introduction of a multimodal fuzzy logic system-based gait index (FLS-GIS), designed to provide numerical scores for gait patterns in both healthy children and those with CP, before and after surgery. This study examines and evaluates the surgical outcomes in children with CP who have undergone Achilles tendon lengthening. The FLS-GIS utilizes hierarchical feature fusion and fuzzy logic models to systematically evaluate and score gait patterns, focusing on spatial and temporal features across the hip, knee, and ankle joints. The two FLS types-1 (FLS-GIS-T1) and type-2 (FLS-GIS-T2) indices, respectively, were implemented to comprehensively study gait profiles. Starting with the gait parameters of all subjects, the changes in gait parameters in post-surgery children reflect significant improvements in gait dynamics, bringing walking patterns in CP children closer to those of their typically healthy peers. Both FLS-GIS-T1 and FLS-GIS-T2 demonstrated significant improvements in post-surgery evaluations compared to pre-surgery assessments, with p values < 0.05 and < 0.001, respectively, when compared to traditional indices. The proposed FLS-based index offers clinicians a robust and standardized gait evaluation tool, characterized by a fixed range of values, enabling consistent assessment across various gait conditions. |
| format | Article |
| id | doaj-art-3cb1ca7c48554199815dbdf2c5d6578d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-3cb1ca7c48554199815dbdf2c5d6578d2025-01-12T12:22:11ZengNature PortfolioScientific Reports2045-23222025-01-0115111010.1038/s41598-025-85172-2Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsySaleh Massoud0Ebrahim Ismaiel1Rasha Massoud2Leila Khadour3Moustafa Al-mawaldi4Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus UniversityDepartment of Medicine and Surgery, University of ParmaDepartment of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus UniversityFaculty of Health Sciences, Al-Baath UniversityDepartment of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus UniversityAbstract Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is essential for the individualized treatment of motor disorders such as cerebral palsy (CP). The primary contribution of this study is the introduction of a multimodal fuzzy logic system-based gait index (FLS-GIS), designed to provide numerical scores for gait patterns in both healthy children and those with CP, before and after surgery. This study examines and evaluates the surgical outcomes in children with CP who have undergone Achilles tendon lengthening. The FLS-GIS utilizes hierarchical feature fusion and fuzzy logic models to systematically evaluate and score gait patterns, focusing on spatial and temporal features across the hip, knee, and ankle joints. The two FLS types-1 (FLS-GIS-T1) and type-2 (FLS-GIS-T2) indices, respectively, were implemented to comprehensively study gait profiles. Starting with the gait parameters of all subjects, the changes in gait parameters in post-surgery children reflect significant improvements in gait dynamics, bringing walking patterns in CP children closer to those of their typically healthy peers. Both FLS-GIS-T1 and FLS-GIS-T2 demonstrated significant improvements in post-surgery evaluations compared to pre-surgery assessments, with p values < 0.05 and < 0.001, respectively, when compared to traditional indices. The proposed FLS-based index offers clinicians a robust and standardized gait evaluation tool, characterized by a fixed range of values, enabling consistent assessment across various gait conditions.https://doi.org/10.1038/s41598-025-85172-2Gait analysisCerebral palsyFuzzy logic systemGait indexHierarchical model fusion |
| spellingShingle | Saleh Massoud Ebrahim Ismaiel Rasha Massoud Leila Khadour Moustafa Al-mawaldi Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy Scientific Reports Gait analysis Cerebral palsy Fuzzy logic system Gait index Hierarchical model fusion |
| title | Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy |
| title_full | Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy |
| title_fullStr | Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy |
| title_full_unstemmed | Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy |
| title_short | Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy |
| title_sort | multimodal fuzzy logic based gait evaluation system for assessing children with cerebral palsy |
| topic | Gait analysis Cerebral palsy Fuzzy logic system Gait index Hierarchical model fusion |
| url | https://doi.org/10.1038/s41598-025-85172-2 |
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