Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model
This study addresses the need for a quantitative assessment tool for spasticity, a common motor disorder in neurological conditions. The Simulated Spasticity Model (SSM) is developed to represent spasticity characteristics across different Modified Ashworth Scale (MAS) levels. This mathematical mode...
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| Format: | Article |
| Language: | en |
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Meche
2025
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| Online Access: | http://eprints.uthm.edu.my/12787/1/J19420_27dfef6b9b1264a148ea82aa5152db5a.pdf http://eprints.uthm.edu.my/12787/ https://doi.org/10.24191/jmeche.v22i1.4560 |
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| author | Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Low, Cheng Yee Yee, Jingye |
| author_facet | Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Low, Cheng Yee Yee, Jingye |
| author_sort | Othman, Nurul Atiqah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This study addresses the need for a quantitative assessment tool for spasticity, a common motor disorder in neurological conditions. The Simulated Spasticity Model (SSM) is developed to represent spasticity characteristics across different Modified Ashworth Scale (MAS) levels. This mathematical model captures the spasticity behaviour, offering detailed insights that qualitative descriptions cannot provide. Ethic approval was secured, and 114 data sets met the inclusion criteria. Research hypotheses, based on MAS descriptions, focused on muscle
tone progression and catch positions during passive stretching. Data underwent segmentation, cleaning, and filtering, with feature extraction for crucial information. Slow passive stretch analysis revealed a quadratic characterizing range of motion (ROM) for Malaysians, exhibiting a high R2 result of 97.36%. The fast passive stretch analysis utilized the Bi-Gaussian Peak function, creating the SSM for simplified MAS interpretation. Validation showed a significant portion of data points falling within the 0.8 to 1.0 R2 range, confirming strong alignment with the model. Results robustly supported hypotheses, confirming the expected hierarchy of initial forces, catch positions, and graph widths. This research demonstrates that MAS can be effectively represented and understood using the SSM, bridging the qualitative-quantitative gap in spasticity assessment. In conclusion, this study transforms MAS into a data-driven tool, providing a valuable contribution to spasticity education. |
| format | Article |
| id | my.uthm.eprints-12787 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2025 |
| publisher | Meche |
| record_format | eprints |
| spelling | my.uthm.eprints-127872025-07-01T23:46:19Z http://eprints.uthm.edu.my/12787/ Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Low, Cheng Yee Yee, Jingye RC Internal medicine This study addresses the need for a quantitative assessment tool for spasticity, a common motor disorder in neurological conditions. The Simulated Spasticity Model (SSM) is developed to represent spasticity characteristics across different Modified Ashworth Scale (MAS) levels. This mathematical model captures the spasticity behaviour, offering detailed insights that qualitative descriptions cannot provide. Ethic approval was secured, and 114 data sets met the inclusion criteria. Research hypotheses, based on MAS descriptions, focused on muscle tone progression and catch positions during passive stretching. Data underwent segmentation, cleaning, and filtering, with feature extraction for crucial information. Slow passive stretch analysis revealed a quadratic characterizing range of motion (ROM) for Malaysians, exhibiting a high R2 result of 97.36%. The fast passive stretch analysis utilized the Bi-Gaussian Peak function, creating the SSM for simplified MAS interpretation. Validation showed a significant portion of data points falling within the 0.8 to 1.0 R2 range, confirming strong alignment with the model. Results robustly supported hypotheses, confirming the expected hierarchy of initial forces, catch positions, and graph widths. This research demonstrates that MAS can be effectively represented and understood using the SSM, bridging the qualitative-quantitative gap in spasticity assessment. In conclusion, this study transforms MAS into a data-driven tool, providing a valuable contribution to spasticity education. Meche 2025 Article PeerReviewed text en http://eprints.uthm.edu.my/12787/1/J19420_27dfef6b9b1264a148ea82aa5152db5a.pdf Othman, Nurul Atiqah and Che Zakaria, Noor Ayuni and Johar, Khairunnisa and Hanapiah, Fazah Akhtar and Mohamad Hashim, Natiara and Low, Cheng Yee and Yee, Jingye (2025) Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model. Journal of Mechanical Engineering, 22 (1). 137 -153. https://doi.org/10.24191/jmeche.v22i1.4560 |
| spellingShingle | RC Internal medicine Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Low, Cheng Yee Yee, Jingye Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title | Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title_full | Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title_fullStr | Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title_full_unstemmed | Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title_short | Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model |
| title_sort | quantifying spasticity: developing a data-driven approach through the modified ashworth scale and simulated spasticity model |
| topic | RC Internal medicine |
| url | http://eprints.uthm.edu.my/12787/1/J19420_27dfef6b9b1264a148ea82aa5152db5a.pdf http://eprints.uthm.edu.my/12787/ https://doi.org/10.24191/jmeche.v22i1.4560 |
| url_provider | http://eprints.uthm.edu.my/ |