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Related Experiment Video

Updated: Jun 26, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
09:44

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

Published on: April 12, 2011

Customized Manual Muscle Testing for Post-Stroke Upper Extremity Assessment.

Nadinne Alexandra Roman1, Roxana Steliana Miclaus1, Cristina Nicolau2

  • 1Faculty of Medicine, Transilvania University of Brasov, 500036 Brasov, Romania.

Brain Sciences
|April 21, 2022
PubMed
Summary
This summary is machine-generated.

A new scoring system for Manual Muscle Testing (MMT) enhances upper extremity (UE) motor function assessment in post-stroke patients. This refined MMT grading provides more precise evaluation and clearer tracking of rehabilitation progress.

Keywords:
assessmentmuscle strengthpost-stroke rehabilitationupper extremity

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Published on: October 11, 2024

Area of Science:

  • Neuro-rehabilitation
  • Physical Therapy
  • Neurology

Background:

  • Accurate assessment of upper extremity (UE) motor function is crucial for post-stroke neuro-rehabilitation.
  • Existing Manual Muscle Testing (MMT) scoring may lack the granularity needed for detailed progress monitoring, especially in short hospitalization periods.
  • A need exists for a more precise and sensitive assessment tool to quantify UE motor and functional status.

Purpose of the Study:

  • To introduce and validate a novel, customized scoring system for Manual Muscle Testing (MMT) to improve the assessment of upper extremity (UE) motor function in post-stroke patients.
  • To enhance the precision of MMT grading, offering more detailed muscular assessment and clearer quantification of patient progress.
  • To evaluate the psychometric properties, including validity, unidimensionality, and internal consistency, of the proposed MMT scoring system.

Main Methods:

  • A prospective study involving 41 post-stroke patients with UE impairments.
  • Exploratory and confirmatory factor analysis (CFA) using structural equation modeling (SEM) to assess validity and unidimensionality.
  • Cronbach’s Alpha for internal consistency and Pearson correlation coefficients with Fugl-Meyer (FM) assessments, Modified Ashworth Scale (MAS), Active Range of Motion (AROM), and Modified Rankin Scale (MRS).
  • Linear regression analysis to identify segmental muscle influences on overall UE strength assessment.

Main Results:

  • The customized MMT scoring system demonstrated a good model fit and strong internal consistency (Cronbach’s Alpha = 0.920).
  • Significant correlations were found between the MMT-customized score and AROM (0.857), FMUE (0.905), MRS (-0.608), and MAS (-0.677), all with p < 0.001 (except MRS, p = 0.010).
  • Linear regression indicated that wrist extensors, shoulder abductors, and finger flexors significantly influence the manual assessment of whole UE muscle strength.

Conclusions:

  • The proposed MMT scoring system offers a more precise and granular assessment of UE motor function in post-stroke patients.
  • This enhanced MMT tool provides clearer quantification of patient progress, beneficial for intensive rehabilitation and short hospital stays.
  • The findings suggest that the customized MMT scoring system is a valuable tool for improving UE assessment and patient management in neuro-rehabilitation.