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Updated: Jun 19, 2025

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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
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Pedaling Asymmetry Reflected by Bilateral EMG Complexity in Chronic Stroke
Shi-Chun Bao1,2,3, Rui Sun4, Raymond Kai-Yu Tong2
1National Innovation Center for Advanced Medical Devices, Shenzhen 518110, China.
Entropy (Basel, Switzerland)
|July 26, 2024
Summary
Electromyogram (EMG) complexity analysis reveals reduced neuromuscular activity in stroke survivors during pedaling. Paretic limb EMG complexity correlates with motor function, suggesting its use in assessing stroke recovery.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Stroke survivors often exhibit motor impairments, including pedaling asymmetry.
- Quantifying neuromuscular control in lower limbs is crucial for rehabilitation.
- Electromyogram (EMG) complexity offers a potential metric for assessing muscle activity.
Purpose of the Study:
- To investigate pedaling asymmetry in chronic stroke survivors using EMG complexity.
- To compare EMG complexity between stroke survivors and healthy individuals.
- To explore the relationship between EMG complexity and clinical motor function scores.
Main Methods:
- Recumbent pedaling tasks (passive and volitional) were performed by 15 chronic stroke survivors and 12 healthy controls.
- EMG signals from six bilateral lower limb muscles were recorded.
- Fuzzy approximate entropy (fApEn) was used to quantify EMG complexity.
Main Results:
- Stroke participants demonstrated significantly lower EMG complexity than healthy controls during pedaling (p = 0.002).
- Paretic limbs showed reduced EMG complexity compared to non-paretic limbs in stroke survivors during passive pedaling (p = 0.005).
- A significant correlation was found between paretic limb EMG complexity and clinical motor function scores during passive pedaling (p = 0.022, p = 0.028).
Conclusions:
- EMG complexity is a viable quantitative tool for assessing neuromuscular characteristics in lower limb dynamic movements in stroke survivors.
- Reduced EMG complexity in stroke survivors reflects impaired neuromuscular control.
- Paretic limb EMG complexity during passive pedaling may serve as a biomarker for stroke motor function status.

