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] |
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| Database: | Engineering Source |
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