Electromyography as a tool to motion analysis for people with Amyotrophic Lateral Sclerosis: A protocol for a systematic review.

Autor: Fernandes APM; Department of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil., Holanda LJ; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada., Lucena LC; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil., Silva KERD; Department of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil., Lopes ACSM; Department of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil., Borges DT; Department of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil., Nagem DAP; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.; Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil., Valentim RAM; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.; Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil., Bougrain L; Dept. of complex system, Artificial intelligence and robotics at Loria, University of Lorraine, Nancy, France., Rodrigues Lindquist AR; Department of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.; Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 May 28; Vol. 19 (5), pp. e0302479. Date of Electronic Publication: 2024 May 28 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0302479
Abstrakt: Biomechanical analysis of human movement plays an essential role in understanding functional changes in people with Amyotrophic Lateral Sclerosis (ALS), providing information on muscle impairment. Studies suggest that surface electromyography (sEMG) may be able to quantify muscle activity, identify levels of fatigue, assess muscle strength, and monitor variation in limb movement. In this article, a systematic review protocol will analyze the psychometric properties of the sEMG regarding the clinical data on the skeletal muscles of people with ALS. This protocol uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodological tool. A specific field structure was defined to reach each phase. Nine scientific databases (PubMed, Web of Science, Embase, Elsevier, IEEE, Google Scholar, SciELO, PEDro, LILACS E CENTRAL) were searched. The framework developed will extract data (i.e. study information, sample information, sEMG information, intervention, and outcomes) from the selected studies using a rigorous approach. The data will be described quantitatively using frequency and trend analysis methods, and heterogeneity between the included studies will be assessed using the I2 test. The risk of bias will be summarized using the most recent prediction model risk of bias assessment tool. Be sure to include relevant statistics here, such as sample sizes, response rates, P values or Confidence Intervals. Be specific (by stating the value) rather than general (eg, "there were differences between the groups"). This protocol will map out the construction of a systematic review that will identify and synthesize the advances in movement analysis of people with ALS through sEMG, using data extracted from articles.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Fernandes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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