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Alterations in Muscle Tone ll01:12

Alterations in Muscle Tone ll

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Alterations in muscle tone are common manifestations of neurological disorders and reflect dysfunction within different nervous system regions. Spasticity, paratonia, and dystonia represent distinct forms of hypertonia, each with unique mechanisms, clinical features, and diagnostic importance.CharacteristicsSpasticity happens from upper motor neuron lesions and is characterized by velocity-dependent resistance to passive movement. Clinical features include:Exaggerated deep tendon reflexesClonus...
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Portable Upper-limb Muscle Tone Assessment by Integrating Multi-sensor Signals.

Yue Zhang1,2, Ying Zheng1, Hao ShangGuan3

  • 1College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.

Annals of Biomedical Engineering
|February 23, 2026
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Summary
This summary is machine-generated.

This study developed a new platform using biomechanical and surface electromyography (sEMG) data for objective muscle tone assessment. The method shows high accuracy, offering a reliable alternative to the subjective Modified Ashworth Scale (MAS) for hypertonia diagnosis.

Keywords:
Biomechanical dataForce sensorsHypertoniaMASUpper-limb muscle tone detection platformsEMG

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neurology

Background:

  • Traditional hypertonia diagnosis relies on the subjective Modified Ashworth Scale (MAS), which is limited by inter-rater variability.
  • Previous attempts to quantify muscle tone using force sensors and surface electromyography (sEMG) have faced challenges in reliability and validity.
  • There is a need for an objective and quantitative method for assessing upper-limb muscle tone to improve diagnostic accuracy.

Purpose of the Study:

  • To develop a simple and effective platform integrating biomechanical and sEMG data for upper-limb muscle tone assessment.
  • To provide an objective and quantitative evaluation method for muscle tone, overcoming the limitations of subjective clinical scales.
  • To enhance the diagnostic accuracy and reliability of hypertonia assessment.

Main Methods:

  • A detection platform was designed to collect biomechanical and sEMG data from 59 participants (49 patients, 10 healthy controls).
  • Data were collected at varying movement speeds (15°/s, 20°/s, 25°/s) and subjected to feature extraction, signal processing, and statistical analysis.
  • Dimensionality reduction was employed to optimize features, which were then integrated into a classification algorithm.

Main Results:

  • Extracted features significantly differentiated patients with hypertonia from healthy individuals (p < 0.01).
  • A strong correlation was found between the extracted features and Modified Ashworth Scale (MAS) scores (p < 0.01), confirming method reliability.
  • The classification algorithm demonstrated high consistency with clinical evaluations, indicating potential for clinical application.

Conclusions:

  • The developed platform offers an objective and quantitative approach to muscle tone assessment, moving beyond subjective MAS evaluations.
  • This method enhances diagnostic accuracy, providing a more reliable basis for hypertonia diagnosis and treatment planning.
  • The findings promise to optimize clinical decision-making and improve patient management and therapeutic strategies in hypertonia care.