Characteristics of Human Postactivation Effect of Skeletal Muscles Using Spectral and Non-Linear Parameters of the Surface Electromyogram
- Authors: Meigal A.Y.1, Peskova A.E.1, Sklyarova A.S.1, Gerasimova-Meigal L.I.1
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Affiliations:
- Petrozavodsk State University
- Issue: Vol 50, No 4 (2024)
- Pages: 59-67
- Section: Articles
- URL: https://cardiosomatics.ru/0131-1646/article/view/664064
- DOI: https://doi.org/10.31857/S0131164624040053
- EDN: https://elibrary.ru/BTMRXZ
- ID: 664064
Cite item
Abstract
Postactivation effect (PAE, postactivation phenomenon) is a specific type of involuntary muscle tone (tonic automatism) which is generated in the “tonogenic” structures of the brain, presumably without the “sensory copy” and “motor command” mechanisms. In this regard, the electromyogram (EMG) signal of PAE may have a simpler temporal signal structure compared to PAE-inducing voluntary activity. The purpose of this work is to characterize the temporal structure and complexity of surface EMG (sEMG) of the human deltoid and biceps brachii muscles using fractal (D) and correlation dimensions (Dc). It was found that in deltoid muscles the value of D was 1.78–1.81 both during PAE and voluntary effort (p > 0.05). Dc (approximately 4.0–4.2) also did not differ between PAE and voluntary effort, although the average frequency of the sEMG spectrum during PAE was 15–16 Hz (p < 0.05) higher compared to voluntary effort. In biceps brachii muscles, the D value was 1.8 during PAE and 1.62 during voluntary effort (p < 0.05). Dc values did not differ between PAE and voluntary contraction (4–4.8). Thus, despite the supposed difference in the central organization of PAE and voluntary effort, the temporal structure of their sEMG did not differ, indicating that isometric voluntary effort and involuntary tone in the form of PAE share a common principle of sEMG signal generation. At the same time, the differences in the frequency of the sEMG spectrum indicate that the organization of sEMG signal during PAE is specific on the level of the motoneuron pool.
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About the authors
A. Yu. Meigal
Petrozavodsk State University
Author for correspondence.
Email: meigal@petrsu.ru
Russian Federation, Petrozavodsk
A. E. Peskova
Petrozavodsk State University
Email: meigal@petrsu.ru
Russian Federation, Petrozavodsk
A. S. Sklyarova
Petrozavodsk State University
Email: meigal@petrsu.ru
Russian Federation, Petrozavodsk
L. I. Gerasimova-Meigal
Petrozavodsk State University
Email: meigal@petrsu.ru
Russian Federation, Petrozavodsk
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