Surface electromyography signal analysis in upper limb functional motor tasks in healthy adults: A scoping review of non-linear measures

Marques, João André Santos

http://hdl.handle.net/10400.22/29631

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Authors

Marques, João André Santos

Advisor(s)

Carvalho, Paulo José Medeiros de

Pinho, Francisco José da Silva

Figueira, Vânia Eliana Barros Rodrigues

Abstract(s)

This study aimed to summarise the non-linear measures used in analysing electromyographic signals during upper limb functional motor tasks in healthy adults. Following PRISMA-ScR guidelines, the eligibility criteria encompassed population, concept, and context.Studies in English, Portuguese, and French were included without temporal or geographical restrictions from the following databases: PubMed®, Web of Science™, IEEE Xplore®and Google Scholar. Qualitative studies, validation studies, editorials, letters, commentaries, conference abstracts, poster presentations, and theseswere excluded. Six studies involving 103 healthy participants were included. Most studies (n=5) combined different non-linear measures, such as Recurrence Quantification Analysis (n=2), Fuzzy Entropy (n=2), Sample Entropy (n=2), Spectral and Permutation Entropy (n=1), Fractal Dimension (n=1) and Maximum Fractal Length (n=1). All studies analysed electromyographic signals from upper limb muscles, predominantly the anterior deltoid(n=4). Grasping tasks were most common (n=6), with five studies employing different electromyographic variables, primarily median frequency(n=4). Entropy and fractal measures were prominently used to analyse shoulder, elbow, and wrist muscle signals during tasks like grasping, lifting, holding, reaching, and clip-fitting. This suggests their robustness in characterising signal irregularity and complexity.