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Ten frequently asked questions (FAQs) on surface electromyography.

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Title: Ten frequently asked questions (FAQs) on surface electromyography.
Authors: Farina, Dario1 (AUTHOR) d.farina@imperial.ac.uk, Falla, Deborah2 (AUTHOR), Merletti, Roberto3 (AUTHOR)
Source: Journal of Electromyography & Kinesiology. Aug2026, Vol. 89, pN.PAG-N.PAG. 1p.
Subjects: Electromyography, Signal processing, Artificial intelligence, Brain-computer interfaces, Human mechanics, Detectors, Neuromuscular system physiology
Abstract: Surface electromyography (sEMG) is one of the most widely used techniques for studying the control of human movement and neuromuscular function, and for establishing human–machine interfaces. Over the past two decades, sEMG has undergone substantial conceptual and methodological evolution, progressing from a tool for describing global muscle activation to a modality capable of providing access, directly or indirectly, to the neural information underlying motor control. Alongside advances in sensor technology, signal processing, modelling, and artificial intelligence, this evolution has expanded the range of questions that sEMG can address while also increasing the complexity of its correct interpretation. Despite the extensive literature on sEMG, fundamental misconceptions, recurring practical doubts, and fragmented understanding persist. In this article we adopt a question-driven format to address ten frequently asked questions (FAQs) on sEMG. The questions are organized into three thematic sections: foundations of sEMG, signal processing and interpretation, and applications. Rather than providing an exhaustive review, the answers focus on clarifying core principles, underlying assumptions, and intrinsic limitations, while highlighting recent methodological developments and future perspectives. By structuring the discussion around FAQs, this work aims to provide a clear, accessible, and conceptually grounded entry point to sEMG, and to establish a framework that can be extended in future contributions focused on specific application domains, complementing traditional narrative reviews and supporting more informed and effective use of the technique across research and applied contexts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Electromyography & Kinesiology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Ten frequently asked questions (FAQs) on surface electromyography.
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  Data: <searchLink fieldCode="AR" term="%22Farina%2C+Dario%22">Farina, Dario</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> d.farina@imperial.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Falla%2C+Deborah%22">Falla, Deborah</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Merletti%2C+Roberto%22">Merletti, Roberto</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electromyography+%26+Kinesiology%22">Journal of Electromyography & Kinesiology</searchLink>. Aug2026, Vol. 89, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Electromyography%22">Electromyography</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Brain-computer+interfaces%22">Brain-computer interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Human+mechanics%22">Human mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Neuromuscular+system+physiology%22">Neuromuscular system physiology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Surface electromyography (sEMG) is one of the most widely used techniques for studying the control of human movement and neuromuscular function, and for establishing human–machine interfaces. Over the past two decades, sEMG has undergone substantial conceptual and methodological evolution, progressing from a tool for describing global muscle activation to a modality capable of providing access, directly or indirectly, to the neural information underlying motor control. Alongside advances in sensor technology, signal processing, modelling, and artificial intelligence, this evolution has expanded the range of questions that sEMG can address while also increasing the complexity of its correct interpretation. Despite the extensive literature on sEMG, fundamental misconceptions, recurring practical doubts, and fragmented understanding persist. In this article we adopt a question-driven format to address ten frequently asked questions (FAQs) on sEMG. The questions are organized into three thematic sections: foundations of sEMG, signal processing and interpretation, and applications. Rather than providing an exhaustive review, the answers focus on clarifying core principles, underlying assumptions, and intrinsic limitations, while highlighting recent methodological developments and future perspectives. By structuring the discussion around FAQs, this work aims to provide a clear, accessible, and conceptually grounded entry point to sEMG, and to establish a framework that can be extended in future contributions focused on specific application domains, complementing traditional narrative reviews and supporting more informed and effective use of the technique across research and applied contexts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Electromyography & Kinesiology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195183891
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        Value: 10.1016/j.jelekin.2026.103159
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        Text: English
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        Type: general
      – SubjectFull: Signal processing
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Brain-computer interfaces
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      – SubjectFull: Human mechanics
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      – SubjectFull: Detectors
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      – SubjectFull: Neuromuscular system physiology
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      – TitleFull: Ten frequently asked questions (FAQs) on surface electromyography.
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            NameFull: Farina, Dario
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            NameFull: Falla, Deborah
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              M: 08
              Text: Aug2026
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              Y: 2026
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