Pedaling Asymmetry Reflected by Bilateral EMG Complexity in Chronic Stroke

  • Shi Chun Bao
  • , Rui Sun
  • , Raymond Kai Yu Tong

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This study examines pedaling asymmetry using the electromyogram (EMG) complexity of six bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and twelve healthy participants joined passive and volitional recumbent pedaling tasks using a self-modified stationary bike with a constant speed of 25 revolutions per minute. The fuzzy approximate entropy (fApEn) was adopted in EMG complexity estimation. EMG complexity values of stroke participants during pedaling were smaller than those of healthy participants (p = 0.002). For chronic stroke participants, the complexity of paretic limbs was smaller than that of non-paretic limbs during the passive pedaling task (p = 0.005). Additionally, there was a significant correlation between clinical scores and the paretic EMG complexity during passive pedaling (p = 0.022, p = 0.028), indicating that the paretic EMG complexity during passive movement might serve as an indicator of stroke motor function status. This study suggests that EMG complexity is an appropriate quantitative tool for measuring neuromuscular characteristics in lower limb dynamic movement tasks for chronic stroke survivors.

Original languageEnglish
Article number538
JournalEntropy
Volume26
Issue number7
DOIs
StatePublished - Jul 2024
Externally publishedYes

Keywords

  • EMG
  • complexity
  • fuzzy approximate entropy
  • pedaling asymmetry
  • stroke

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