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Authors: Jun Akazawa 1 and Ryuhei Okuno 2

Affiliations: 1 School of Health Science and Medical Care and Meiji University of Integrative Medicine, Japan ; 2 Faculty of Science and Engineering and Setsunan University, Japan

ISBN: 978-989-758-279-0

Keyword(s): Surface EMG, Superimposed Signals.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The purpose of this study was to develop a method of decomposing the surface motor unit acton potential (SMUAP) of a biceps brachii short head muscle when the distance from the surface electrodes to the motor units (MUs) changes during voluntary isovelocity elbow flexion. In the preparatory study, a subject’s elbow flexion movement had changed the shape of the SMUAP, which was probably made by a single MU larger than the previous study. Thus, we had to develop a SMUAP decomposition method that focused on tracking the SMUAP waveform changes and superimposed signals. The developed SMUAP decomposition algorithm was based on a sequentially modified template matching method, considering the superimposed signals. This was applied to the measured SMUAPs. The MU firing rates calculated with our algorithm were almost the same as those of previous physiological studies; our algorithm was capable of decomposing SMUAPs when the waveform of the SMUAP was generated from a single MU and responded wi th each change in firing time. (More)

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Paper citation in several formats:
Akazawa J. and Okuno R. (2018). Investigation of a Multichannel Surface Electromyogram Analysis Method Considering Superimposed Waveforms in a Elbow Flexion Movement.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 195-200. DOI: 10.5220/0006634901950200

@conference{biosignals18,
author={Jun Akazawa and Ryuhei Okuno},
title={Investigation of a Multichannel Surface Electromyogram Analysis Method Considering Superimposed Waveforms in a Elbow Flexion Movement},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,},
year={2018},
pages={195-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006634901950200},
isbn={978-989-758-279-0},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - Investigation of a Multichannel Surface Electromyogram Analysis Method Considering Superimposed Waveforms in a Elbow Flexion Movement
SN - 978-989-758-279-0
AU - Akazawa J.
AU - Okuno R.
PY - 2018
SP - 195
EP - 200
DO - 10.5220/0006634901950200

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