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A Brief Literature Review of Mathematical Models of EMG Signals Through Hierarchical Analytical Processing

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Advances and Applications in Computer Science, Electronics, and Industrial Engineering (CSEI 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 433))

Abstract

This paper presents a systematic review of the literature for the selection of a mathematical model to determine the behavior and constitution of electromyography (EMG) signals. The selection of a mathematical model can be determined according to the search criteria related to obtaining the same EMG signal. In this context, determining the alternatives and most representative characteristics of a mathematical model is done through a hierarchical analytical process (AHP). This process allows determining the functional, modular, descriptive, and resulting characteristics of a proposed mathematical model. Subsequently, these criteria are correlated with quantitative values for each alternative by means of the Centroid Method, which allows for multiple criteria decision making. Finally, the study presenting the mathematical models proposed by the EMG composition with the highest acceptance weight for Hand Gesture Recognition using Electromyographic Signals has been performed.

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Acknowledgements

The Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia (CEDIA) for the development of the research project CEPRA-2019-13-Reconocimiento de Gestos.

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Authors and Affiliations

  1. Facultad de Ingeniería en Sistemas Electrónica e Industrial, Universidad Técnica de Ambato, Ambato, Ecuador

    Ruben Nogales, Jaime Guilcapi, Freddy Benalcazar & Javier Vargas

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  1. Ruben Nogales
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  2. Jaime Guilcapi
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  3. Freddy Benalcazar
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  4. Javier Vargas
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Corresponding author

Correspondence to Ruben Nogales .

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Editors and Affiliations

  1. Universidad del País Vasco, Bilbao, Spain

    Marcelo V. Garcia

  2. FISEI, Universidad Técnica de Ambato, Ambato, Ecuador

    Félix Fernández-Peña

  3. FISEI, Universidad Técnica de Ambato, Ambato, Ecuador

    Carlos Gordón-Gallegos

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Nogales, R., Guilcapi, J., Benalcazar, F., Vargas, J. (2022). A Brief Literature Review of Mathematical Models of EMG Signals Through Hierarchical Analytical Processing. In: Garcia, M.V., Fernández-Peña, F., Gordón-Gallegos, C. (eds) Advances and Applications in Computer Science, Electronics, and Industrial Engineering. CSEI 2021. Lecture Notes in Networks and Systems, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-97719-1_16

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