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Related Concept Videos

High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For example, the mass of helium...

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

Elgison L Dos Santos1,2, Eduardo M Scheeren2, Guilherme N Nogueira-Neto2

  • 1Centro Universitário Internacional Uninter, Curitiba 80020-000, PR, Brazil.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

A new mechanomyography (MMG) scale quantitatively measures muscle spasticity, overcoming the subjectivity of the Modified Ashworth Scale (MAS). This novel approach enhances the objectivity and reliability of spasticity assessments.

Keywords:
Modified Ashworth Scalebiomechanicsmechanomyographyobjective assessmentspasticity evaluationstretch reflex

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Medicine

Background:

  • The Modified Ashworth Scale (MAS) is a subjective clinical tool for assessing muscle spasticity.
  • Subjectivity in MAS assessments can limit the reliability of spasticity evaluations.
  • There is a need for objective, quantitative methods to measure spasticity.

Purpose of the Study:

  • To develop and validate a novel quantitative metric scale for spasticity assessment.
  • To utilize mechanomyography (MMG) to overcome the limitations of the qualitative MAS.
  • To enhance the objectivity and reliability of spasticity measurements.

Main Methods:

  • Mechanomyography (MMG) data were collected from flexor and extensor muscles of knee and elbow joints.
  • The median absolute amplitude of MMG signals was used as a key descriptor.
  • An algorithm normalized MMG signals to a gravitational acceleration (G) scale, aligning with MAS ranges.

Main Results:

  • 34 limbs from 22 volunteers were evaluated.
  • Polynomial regression showed an excellent fit (R² = 0.987) between MAS and the normalized MMG scale.
  • Negligible differences (mean 0.001 G) were observed, with established MMG(G) values for each MAS level.

Conclusions:

  • A quantitative, semi-automated method for muscle spasticity evaluation has been developed.
  • The proposed MMG-based scale significantly enhances objectivity and reliability in spasticity assessments.
  • This approach offers a more precise alternative to traditional clinical scales for spasticity.