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


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Aug 2024
Historique:
received: 06 06 2024
revised: 13 07 2024
accepted: 18 07 2024
medline: 1 9 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

(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

Identifiants

pubmed: 39204970
pii: s24165276
doi: 10.3390/s24165276
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Council for Scientific and Technological Development
ID : 151210/2018-7
Organisme : National Council for Scientific and Technological Development
ID : 459203/2014-2

Auteurs

Elgison L Dos Santos (EL)

Centro Universitário Internacional Uninter, Curitiba 80020-000, PR, Brazil.
Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.

Eduardo M Scheeren (EM)

Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.

Guilherme N Nogueira-Neto (GN)

Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.

Eddy Krueger (E)

Anatomy Department, State University of Londrina, Londrina 86057-970, PR, Brazil.
Graduate Program in Electrical Engineering, State University of Londrina, Londrina 86057-970, PR, Brazil.

Nathalia Peixoto (N)

Department of Bioengineering, George Mason University, Fairfax, VA 22030, USA.

Percy Nohama (P)

Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.
Graduate Program in Electrical and Computing Engineering, Universidade Tecnológica Federal do Paraná, Curitiba 80230-901, PR, Brazil.

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Classifications MeSH