Your browser doesn't support javascript.
loading
Mechanomyography-Based Metric Scale for Spasticity: A Pilot Descriptive Observational Study.
Dos Santos, Elgison L; Scheeren, Eduardo M; Nogueira-Neto, Guilherme N; Krueger, Eddy; Peixoto, Nathalia; Nohama, Percy.
Afiliación
  • Dos Santos EL; Centro Universitário Internacional Uninter, Curitiba 80020-000, PR, Brazil.
  • Scheeren EM; Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.
  • Nogueira-Neto GN; Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.
  • Krueger E; Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.
  • Peixoto N; Anatomy Department, State University of Londrina, Londrina 86057-970, PR, Brazil.
  • Nohama P; Graduate Program in Electrical Engineering, State University of Londrina, Londrina 86057-970, PR, Brazil.
Sensors (Basel) ; 24(16)2024 Aug 15.
Article en En | MEDLINE | ID: mdl-39204970
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 (R2 = 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Espasticidad Muscular / Miografía Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Espasticidad Muscular / Miografía Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza