Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

EMG recurrence quantifications in dynamic exercise.

Yiwei Liu1, Markku Kankaanpää, Joseph P Zbilut

  • 1Department of Physiology, Loyola University Medical Center, 2160, South First Avenue, Maywood, IL 60153-3304, USA.

Biological Cybernetics
|June 29, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The effectiveness of neuromuscular exercise on multisite pain among currently working health care workers.

Journal of occupational and environmental medicine·2026
Same author

Content Analysis of ICF-Based Data in the Multidisciplinary Health Records of People With Spinal Cord Injury.

Topics in spinal cord injury rehabilitation·2026
Same author

The role of co-occurring obesity in the association between lumbar disc degeneration and disability related to low back pain.

BMC musculoskeletal disorders·2026
Same author

Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

Scientific reports·2025
Same author

Defect engineered Ti-MOFs and their applications.

Chemical Society reviews·2025
Same author

GPER1-mediated suppression of acute cellular rejection in murine cervical heart transplantation by estradiol.

Journal of cardiothoracic surgery·2025
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

Recurrence quantification analysis (RQA) effectively measures fatigue in low back pain patients undergoing physical therapy. Improved fatigue resistance, indicated by RQA, correlated with reduced pain, suggesting RQA

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Clinical Biomechanics

Background:

  • Low back pain (LBP) affects numerous individuals, often linked to muscle fatigue and altered motor control.
  • Assessing muscle fatigue during dynamic exercise is crucial for understanding LBP pathophysiology and treatment efficacy.
  • Nonlinear analysis methods, like recurrence quantification analysis (RQA), show promise for characterizing complex biological signals such as electromyography (EMG).

Purpose of the Study:

  • To evaluate the suitability of nonlinear recurrence quantification analysis (RQA) for assessing electromyograph (EMG) signals during dynamic exercise in patients with low back pain.
  • To determine if RQA can serve as an objective marker for muscle fatigue and track changes in motor unit recruitment.
  • To investigate the correlation between RQA-derived fatigue measures and subjective pain relief following physical therapy.

Related Experiment Videos

Main Methods:

  • Nineteen male patients with low back pain underwent isoinertial exercise, with EMG signals recorded from paraspinal muscles before and after a 12-week physical therapy program.
  • Autorecurrence and cross-recurrence analysis were applied to left and right EMG signals to assess motor unit recruitment patterns.
  • Spectral analysis of EMG signals was used as an independent measure of muscle fatigue.

Main Results:

  • An increase in the RQA variable % determinism during dynamic tests was identified as a reliable marker for muscle fatigue.
  • Before therapy, RQA indicated increased motor unit recruitment within and between muscle groups; this pattern lessened after therapy, suggesting improved fatigue resistance.
  • Enhanced fatigue resistance, reflected by a smaller increase in % determinism, correlated significantly with subjective reports of pain reduction.

Conclusions:

  • Nonlinear recurrence quantification analysis (RQA) is a suitable method for assessing EMG signals and muscle fatigue during dynamic exercise in low back pain patients.
  • RQA can objectively quantify improvements in fatigue resistance following physical therapy, correlating with clinical outcomes like pain relief.
  • Recurrence analysis holds potential for monitoring the efficacy of exercise interventions in managing low back pain by targeting the fatigue threshold.