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Editorial
. 2022 Oct 19;22(20):7966.
doi: 10.3390/s22207966.

On the Applications of EMG Sensors and Signals

Affiliations
Editorial

On the Applications of EMG Sensors and Signals

Ernest N Kamavuako. Sensors (Basel). .

Abstract

The ability to execute limb motions derives from composite command signals (or efferent signals) that stem from the central nervous system through the highway of the spinal cord and peripheral nerves to the muscles that drive the joints [...].

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Conflict of interest statement

The author declares no conflict of interest.

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References

    1. Mereu F., Leone F., Gentile C., Cordella F., Gruppioni E., Zollo L. Control Strategies and Performance Assessment of Upper-Limb TMR Prostheses: A Review. Sensors. 2021;21:1953. doi: 10.3390/s21061953. - DOI - PMC - PubMed
    1. Jarque-Bou N.J., Sancho-Bru J.L., Vergara M. A Systematic Review of EMG Applications for the Characterisation of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues. Sensors. 2021;21:3035. doi: 10.3390/s21093035. - DOI - PMC - PubMed
    1. Ye-Lin Y., Prats-Boluda G., Galiano-Botella M., Roldan-Vasco S., Orozco-Duque A., Garcia-Casado J. Directed Functional Coordination Analysis of Swallowing Muscles in Healthy and Dysphagic Subjects by Surface Electromyography. Sensors. 2022;22:4513. doi: 10.3390/s22124513. - DOI - PMC - PubMed
    1. Malvuccio C., Kamavuako E.N. The Effect of EMG Features on the Classification of Swallowing Events and the Estimation of Fluid Intake Volume. Sensors. 2022;22:3380. doi: 10.3390/s22093380. - DOI - PMC - PubMed
    1. Amezquita-Garcia J., Bravo-Zanoguera M., Gonzalez-Navarro F.F., Lopez-Avitia R., Reyna M.A. Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim. Sensors. 2022;22:3737. doi: 10.3390/s22103737. - DOI - PMC - PubMed

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