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A non-volitional skeletal muscle endurance test measures functional changes associated with impaired blood flow.
Brandenberger, Kyle J; Rawdon, Chris L; Armstrong, Erica; Lonowski, Jacob; Cooper, Lakee'dra.
  • Brandenberger KJ; Departments of Respiratory Therapy & Physical Therapy, Georgia State University, Atlanta, GA, USA.
  • Rawdon CL; Department of Exercise Science, Mercer University, Macon, GA, USA.
  • Armstrong E; Departments of Respiratory Therapy & Physical Therapy, Georgia State University, Atlanta, GA, USA.
  • Lonowski J; Departments of Respiratory Therapy & Physical Therapy, Georgia State University, Atlanta, GA, USA.
  • Cooper L; Departments of Respiratory Therapy & Physical Therapy, Georgia State University, Atlanta, GA, USA.
J Rehabil Assist Technol Eng ; 10: 20556683231164339, 2023.
Article en En | MEDLINE | ID: mdl-37035543
ABSTRACT

Introduction:

An electrically stimulated intermittent fatigue test using mechanomyography was recently proposed as a possible tool for detecting clinically relevant changes in muscle function. This study was designed to determine whether the proposed test can detect additional fatigue when it should be present.

Methods:

Subjects (n = 10) underwent two trials each (occluded and normal blood flow) with a standardized fatigue protocol on the Ankle Dorsiflexors (AD) and Wrist Extensors (WE) using a clinical electrical stimulator.

Results:

Mean normalized twitch acceleration was strongly predictive of mean normalized torque (R 2 = 0.828). The WE experienced lower twitch magnitudes throughout the tourniquet trial (10.81 ± 1.25 m/s2) compared to normal blood flow (18.05 ± 1.06 m/s2). The AD twitches were overall reduced in the tourniquet trial (3.87 ± 0.48 m/s2) compared with the control trial (8.57 ± 0.91 m/s2).

Conclusion:

Occluding blood flow to a muscle should cause greater muscle fatigue. The ability to detect reduced contraction magnitudes during an electrically stimulated fatigue protocol resulting from low blood flow suggests the proposed test may be capable of detecting clinically relevant muscle deficits.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article