Staff View: Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]

Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]

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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Main Authors:	Othman, Nurul Atiqah, Che Zakaria, Noor Ayuni, Johar, Khairunnisa, Hanapiah, Fazah Akhtar, Mohamad Hashim, Natiara, Cheng, Yee Low, Jingye, Yee
Format:	Article
Language:	English
Published:	UiTM Press 2025
Subjects:	Diseases of the musculoskeletal system
Online Access:	https://ir.uitm.edu.my/id/eprint/110093/1/110093.pdf https://ir.uitm.edu.my/id/eprint/110093/
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id	my.uitm.ir.110093
record_format	eprints
spelling	my.uitm.ir.1100932025-02-18T16:40:50Z https://ir.uitm.edu.my/id/eprint/110093/ Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.] jmeche Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Cheng, Yee Low Jingye, Yee Diseases of the musculoskeletal system 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. UiTM Press 2025-01 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/110093/1/110093.pdf Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]. (2025) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29/>, 22 (1): 11. pp. 137-153. ISSN e-ISSN: 2550-164X
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Diseases of the musculoskeletal system
spellingShingle	Diseases of the musculoskeletal system Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Cheng, Yee Low Jingye, Yee Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
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
author	Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Cheng, Yee Low Jingye, Yee
author_facet	Othman, Nurul Atiqah Che Zakaria, Noor Ayuni Johar, Khairunnisa Hanapiah, Fazah Akhtar Mohamad Hashim, Natiara Cheng, Yee Low Jingye, Yee
author_sort	Othman, Nurul Atiqah
title	Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
title_short	Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
title_full	Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
title_fullStr	Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
title_full_unstemmed	Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]
title_sort	quantifying spasticity: developing a data-driven approach through the modified ashworth scale and simulated spasticity model / nurul atiqah othman ... [et al.]
publisher	UiTM Press
publishDate	2025
url	https://ir.uitm.edu.my/id/eprint/110093/1/110093.pdf https://ir.uitm.edu.my/id/eprint/110093/
_version_	1825165151451480064
score	13.244413

Quantifying spasticity: developing a data-driven approach through the modified Ashworth scale and simulated spasticity model / Nurul Atiqah Othman ... [et al.]

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