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Proceedings Paper

Objective EMG signal models comparison for gait diagnostics
Author(s): Zbigniew M. Wawrzyniak; Monika Selegrat; Iván Gallego Hernández; Jacek J. Dusza
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Paper Abstract

Electromyography, EMG is an experimental technique concerned with the development, recording and analysis of myoelectric signals. Myoelectric signals are formed by physiological variations in the state of the muscle fiber membranes. EMG is also a diagnostic method used to evaluate the muscle status and influence on the locomotor systems and human mobility. In the paper, the processes of the acquisition, processing, and comparison of the different EMG signals captured during a patient training was carried out. In result of processed data based on real surface EMG reads, the objective models of the gait cycles for different muscles were obtained to support medical and physiotherapeutic diagnosis by the computer-aided tools. After four-weeks VR game training, the gait examination based on EMG signals were performed again, to study and compare the muscle activation terms for gait cycle status improvement by the assessment in the terms of objective data-driven model.

Paper Details

Date Published: 6 November 2019
PDF: 9 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762S (6 November 2019);
Show Author Affiliations
Zbigniew M. Wawrzyniak, Warsaw Univ. of Technology (Poland)
Monika Selegrat, Warsaw Univ. of Technology (Poland)
Iván Gallego Hernández, Univ. of Cadiz (Spain)
Jacek J. Dusza, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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