Paper
3 June 2019 The study of the spatial distribution of non-invasive electromyographic signals on the front surface of a human hand arm during movement in the elbow joint
M. Zhuravlev, A. Runnova, Yu. Kryuchkov
Author Affiliations +
Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 110670T (2019) https://doi.org/10.1117/12.2527734
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
Abstract
In the present paper we study the spatial distribution of non-invasive electromyographic signals on the front surface of a human hand arm during movement in the elbow joint. We describe experimental work and mathematical processing of registered signals massive. Statistical processing of signals from the biceps showed that the excitation in muscle tissue with similar movements such as ballistic contraction spreads through the muscle, mostly in a linear fashion. However, there is a random component, which, as expected, is associated with the mechanisms of physiological resistance to muscle fatigue. The hypothesis is confirmed by the increase in the level of the random component for the trained subjects (athletes).
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M. Zhuravlev, A. Runnova, and Yu. Kryuchkov "The study of the spatial distribution of non-invasive electromyographic signals on the front surface of a human hand arm during movement in the elbow joint ", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670T (3 June 2019); https://doi.org/10.1117/12.2527734
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KEYWORDS
Electromyography

Electrodes

Signal processing

Tissues

Natural surfaces

Neurophysiology

Neuroscience

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