Mechanomyography-Based Metric Scale for Spasticity: A Pilot Descriptive Observational Study

(1) Background: The Modified Ashworth Scale (MAS) is commonly used clinically to evaluate spasticity, but its qualitative nature introduces subjectivity. We propose a novel metric scale to quantitatively measure spasticity using mechanomyography (MMG) to mitigate these subjective effects. (2) Methods: The flexor and extensor muscles of knee and elbow joints were assessed with the Modified Ashworth Scale (MAS) during the acquisition of mechanomyography (MMG) data. The median absolute amplitude of the MMG signals was utilized as a key descriptor. An algorithm was developed to normalize the MMG signals to a universal gravitational (G) acceleration scale, aligning them with the limits and range of MAS. (3) Results: We evaluated 34 lower and upper limbs from 22 volunteers (average age 39.91 ± 13.77 years) of both genders. Polynomial regression provided the best fit (R<sup>2</sup> = 0.987), with negligible differences (mean of 0.001 G) between the MAS and MMG. We established three numerical sets for the median, minimum, and maximum MMG(G) values corresponding to each MAS range, ensuring consistent alignment of the Modified Ashworth levels with our proposed scale. (4) Conclusions: Muscle spasticity can now be quantitatively and semi-automatically evaluated using our algorithm and instrumentation, enhancing the objectivity and reliability of spasticity assessments.

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Publication Details

Journal
Sensors
Published
2024-08-15
DOI
https://doi.org/10.3390/s24165276
Citations
3
Primary Topic
Botulinum Toxin and Related Neurological Disorders
Type
article
Field-Weighted Citation Impact
1.11

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article

Mechanomyography-Based Metric Scale for Spasticity: A Pilot Descriptive Observational Study

Elgison da Luz dos Santos, Guilherme Nunes Nogueira Neto, Eduardo Mendonça Scheeren, Percy Nohama et al.
3 citations
Sensors
Botulinum Toxin and Related Neurological Disorders
1.11
article

Mechanomyography-Based Metric Scale for Spasticity: A Pilot Descriptive Observational Study

Elgison da Luz dos Santos, Guilherme Nunes Nogueira Neto, Eduardo Mendonça Scheeren, Percy Nohama, Nathalia Peixoto, Eddy Krueger
article en
3 citations

Abstract

(1) Background: The Modified Ashworth Scale (MAS) is commonly used clinically to evaluate spasticity, but its qualitative nature introduces subjectivity. We propose a novel metric scale to quantitatively measure spasticity using mechanomyography (MMG) to mitigate these subjective effects. (2) Methods: The flexor and extensor muscles of knee and elbow joints were assessed with the Modified Ashworth Scale (MAS) during the acquisition of mechanomyography (MMG) data. The median absolute amplitude of the MMG signals was utilized as a key descriptor. An algorithm was developed to normalize the MMG signals to a universal gravitational (G) acceleration scale, aligning them with the limits and range of MAS. (3) Results: We evaluated 34 lower and upper limbs from 22 volunteers (average age 39.91 ± 13.77 years) of both genders. Polynomial regression provided the best fit (R<sup>2</sup> = 0.987), with negligible differences (mean of 0.001 G) between the MAS and MMG. We established three numerical sets for the median, minimum, and maximum MMG(G) values corresponding to each MAS range, ensuring consistent alignment of the Modified Ashworth levels with our proposed scale. (4) Conclusions: Muscle spasticity can now be quantitatively and semi-automatically evaluated using our algorithm and instrumentation, enhancing the objectivity and reliability of spasticity assessments.

SensorsVol. 24(16)
Universidade Estadual de Londrina (BR), Universidade Tecnológica Federal do Paraná (BR), George Mason University (US), Pontifícia Universidade Católica do Paraná (BR), Centro Universitário Curitiba (BR), Uninter (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Gender equality
Openalex Percentile: Top 21%
Botulinum Toxin and Related Neurological Disorders
1.11
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