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Published on: September 28, 2019
Synergic co-activation in forearm pronation
Shyang Chang1, Ming-Chun Hsyu, Hsiu-Yao Cheng
1Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, ROC. shyang@ee.nthu.edu.tw
This study introduces a new method to analyze muscle co-activation during forearm movements. Healthy subjects showed synergistic co-activation, while patients with radial nerve palsy exhibited dyssynergic patterns, suggesting potential for diagnosing neuromuscular disorders.
Area of Science:
- Neurology
- Biomedical Engineering
- Biomechanics
Background:
- Muscle co-activations in voluntary limb movement can be synergistic or dyssynergic.
- Understanding these patterns is crucial for diagnosing neuromuscular disorders.
- Surface electromyograms (EMGs) provide insights into muscle activity.
Purpose of the Study:
- To develop a novel method for extracting intensity and frequency information from surface EMGs.
- To investigate synergistic co-activation in healthy subjects during forearm pronation.
- To examine dyssynergic co-activation in patients with radial nerve palsy.
Main Methods:
- Recorded surface EMGs from multiple forearm muscles in 11 healthy subjects and 4 patients with radial nerve palsy.
- Subjects performed voluntary and passive forearm pronation tasks.
- Analyzed fractal dimensions (FDs) and spectral frequencies of EMG signals.
- Compared the novel method with detrended fluctuation analysis (DFA).
Main Results:
- Healthy subjects demonstrated temporally synchronized EMG frequencies and persistent intensities, indicating synergistic co-activation.
- Patients with radial nerve palsy showed lacking synchronized frequencies or non-persistent intensities, suggesting dyssynergic co-activation.
- The novel method showed statistically significant differences in FDs between rest and voluntary pronation in healthy subjects (p < 0.01).
Conclusions:
- The developed method effectively distinguishes between synergistic and dyssynergic muscle co-activations.
- This technique shows potential as a biomarker for evaluating dynamic neuromuscular disorders.
- The findings highlight differences in muscle activation patterns between healthy individuals and those with radial nerve palsy.
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