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A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs

Topics: Biometrics, Detection and Identification; Electromagnetic Fields, Physiological Processes and Biosignal Modeling, Non-Linear Dynamics; Medical Signal Acquisition, Analysis and Processing; Motion and Activity Analysis; Real-Time Systems & Biosignal-Based User Interfaces

Authors: Malte Mechtenberg 1 ; 2 ; Nils Grimmelsmann 1 ; 2 and Axel Schneider 1 ; 2

Affiliations: 1 Biomechatronics and Embedded Systems Group, University of Applied Sciences and Arts, Bielefeld, NRW, Germany ; 2 Institute of System Dynamics and Mechatronics, University of Applied Sciences and Arts, Bielefeld, NRW, Germany

Keyword(s): Innervation Zone, Muscle, Innervation Point, EMG, EMG Simulation, Electromyography, Motor Unit, Firing Pattern, EMG Array.

Abstract: In this work, a novel algorithm for the estimation of the innervation zone location within a muscle head is presented. The algorithm is able to identify innervation zone clusters within continuous surface electromyography (sEMG) recordings based on linear electrode arrays. The presented algorithm is tested in a simulation environment, which is capable of simulating EMG signals based on a common drive signal (activation). The simulator was used to generate sEMGs of six virtual muscle based on six different configurations for the respective muscle fibre distributions. The virtual muscles were each activated with a trapezoidal signal (common drive). The new algorithm was able to identify the location of the innervation zone centers with a mean absolute error of 3.8% of the inter electrode distance. In the best case, the absolute error was below 1% of the inter electrode distance.

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Paper citation in several formats:
Mechtenberg, M.; Grimmelsmann, N. and Schneider, A. (2024). A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 629-636. DOI: 10.5220/0012375100003657

@conference{biosignals24,
author={Malte Mechtenberg. and Nils Grimmelsmann. and Axel Schneider.},
title={A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS},
year={2024},
pages={629-636},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012375100003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS
TI - A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs
SN - 978-989-758-688-0
IS - 2184-4305
AU - Mechtenberg, M.
AU - Grimmelsmann, N.
AU - Schneider, A.
PY - 2024
SP - 629
EP - 636
DO - 10.5220/0012375100003657
PB - SciTePress