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Authors: Semen Kurkin 1 ; Vladimir Khorev 2 ; Elena Pitsik 1 ; Vladimir Maksimenko 1 and Alexander Hramov 1

Affiliations: 1 Neuroscience and Cognitive Technology Lab, Innopolis University, Innopolis and Russian Federation ; 2 Department of Dynamical Modeling and BioMedical Engineering, Saratov State University, Astrakhanskaya Street 83, Saratov and Russian Federation

ISBN: 978-989-758-380-3

Keyword(s): EMG, Electromyogram, Movement Detection, Data Analysis, Pattern Recognition.

Related Ontology Subjects/Areas/Topics: Human-Machine Interfaces ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Nonlinear Signals and Systems ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: We have developed a technique allowing automatic detection of the precursor of movement beginning based on the analysis of electromyographic signals. Methods for determining the beginning of movement and the moments of movement planning are of urgent need in neuroscience, and a separate problem is the use of muscle electrical activity signals (electromyograms) to accurately determine the beginning of hand movement due to the complexity, short duration and noise of the original signals. This issue is particularly significant for experiments with simultaneous recording of electroencephalograms, when it is necessary to consider the interaction between the structures of the brain. We have found out that in the case when the movement starts on a certain sound signal, the moment of the movement beginning is detected with a some time delay.

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Paper citation in several formats:
Kurkin, S.; Khorev, V.; Pitsik, E.; Maksimenko, V. and Hramov, A. (2019). The Approach to the Detection of the Movement Precursor by Electromyographic Signals.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 276-280. DOI: 10.5220/0007916502760280

@conference{icinco19,
author={Semen Kurkin. and Vladimir Khorev. and Elena Pitsik. and Vladimir Maksimenko. and Hramov, A.},
title={The Approach to the Detection of the Movement Precursor by Electromyographic Signals},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={276-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007916502760280},
isbn={978-989-758-380-3},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - The Approach to the Detection of the Movement Precursor by Electromyographic Signals
SN - 978-989-758-380-3
AU - Kurkin, S.
AU - Khorev, V.
AU - Pitsik, E.
AU - Maksimenko, V.
AU - Hramov, A.
PY - 2019
SP - 276
EP - 280
DO - 10.5220/0007916502760280

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