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Tensiomyography and Statistical Analysis Based Muscle Change Detection in Multiple Sclerosis for Smart Healthcare.

Ligia Rusu1, Marius Cristian Neamtu2, Oana Maria Neamtu1

  • 1Sport Medicine and Physical Therapy Department, University of Craiova, Craiova 200585, Romania.

Journal of Healthcare Engineering
|December 12, 2022
PubMed
Summary

Tensiomyography (TMG) effectively assesses muscle changes in multiple sclerosis (MS) patients, identifying fatigue and predicting gait disorders. This noninvasive method aids in understanding muscle function decline in MS.

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Multiple Sclerosis (MS) significantly impacts muscle function, leading to fatigue and force reduction (16-57%).
  • Estimating demyelination's effect on muscle fiber changes in MS is challenging.
  • Muscle fatigue and potential gait disorders are key concerns for MS patients.

Purpose of the Study:

  • To evaluate muscle changes in the tibialis anterior (mTA) muscle of MS patients using Tensiomyography (TMG).
  • To correlate TMG parameters with clinical assessments like ADL and EDSS scores.
  • To explore TMG's utility in predicting muscle fatigue and gait disorders in MS.

Main Methods:

  • A noninvasive Tensiomyography (TMG) technique was employed to assess mTA muscle function.
  • Study included 40 MS patients (20 with and 20 without gait disorders) and 20 healthy controls.
  • Evaluations included ADL and EDSS scores, alongside TMG parameters like contraction time (Tc).

Main Results:

  • TMG successfully provided insights into muscle function in MS patients.
  • Contraction time (Tc) was significantly longer in MS patients with gait disorders (61.37 ms) compared to those without (45.8 ms).
  • TMG parameters (Dm and Tc) showed potential for defining muscle behavior and predicting gait issues.

Conclusions:

  • TMG is a valuable tool for evaluating muscle changes and fatigue in MS.
  • The study highlights TMG's role in a smart healthcare system for predicting muscle imbalance and disease onset.
  • Early detection of muscle changes via TMG can help anticipate and manage gait disorders in MS patients.