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Review

EMG Characterization and Processing in Production Engineering

Department of Construction and Manufacturing Engineering, Universidad Nacional de Educación a Distancia (UNED), C/Juan del Rosal 12, 28040 Madrid, Spain
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Author to whom correspondence should be addressed.
Materials 2020, 13(24), 5815; https://doi.org/10.3390/ma13245815
Submission received: 13 November 2020 / Revised: 10 December 2020 / Accepted: 17 December 2020 / Published: 20 December 2020
(This article belongs to the Special Issue Special Issue of Manufacturing Engineering Society-2020 (SIMES-2020))

Abstract

Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human–machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments.
Keywords: EMG; production engineering; human-machine interaction; monitoring; ergonomics EMG; production engineering; human-machine interaction; monitoring; ergonomics

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MDPI and ACS Style

Olmo, M.d.; Domingo, R. EMG Characterization and Processing in Production Engineering. Materials 2020, 13, 5815. https://doi.org/10.3390/ma13245815

AMA Style

Olmo Md, Domingo R. EMG Characterization and Processing in Production Engineering. Materials. 2020; 13(24):5815. https://doi.org/10.3390/ma13245815

Chicago/Turabian Style

Olmo, Manuel del, and Rosario Domingo. 2020. "EMG Characterization and Processing in Production Engineering" Materials 13, no. 24: 5815. https://doi.org/10.3390/ma13245815

APA Style

Olmo, M. d., & Domingo, R. (2020). EMG Characterization and Processing in Production Engineering. Materials, 13(24), 5815. https://doi.org/10.3390/ma13245815

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