دورية أكاديمية

Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review.

التفاصيل البيبلوغرافية
العنوان: Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review.
المؤلفون: Silva Junior EFFD; Translational Health Graduate Program, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil., Campos SL; Department of Physiotherapy, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil., Leite WS; Health-applied Biology Graduate Program, Federal University of Pernambuco-UFPE, Pernambuco, Brazil., Melo PVS; Department of Physiotherapy, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil., Lins RAC; Department of Physiotherapy, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil., Araújo MDGR; Department of Physiotherapy, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil., Guerino MR; Translational Health Graduate Program, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil.; Department of Physiotherapy, Federal University of Pernambuco-UFPE, Recife, Pernambuco, Brazil.
المصدر: PloS one [PLoS One] 2023 Apr 27; Vol. 18 (4), pp. e0284911. Date of Electronic Publication: 2023 Apr 27 (Print Publication: 2023).
نوع المنشور: Systematic Review; Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Critical Illness* , Respiratory Muscles*/physiology, Humans ; Electromyography/methods ; Reproducibility of Results ; Diaphragm ; Electrodes ; Muscle, Skeletal
مستخلص: Background: Surface Electromyography (sEMG) has been used to monitor respiratory muscle function and contractility in several clinical situations, however there is the lack of standardization for the analysis and processing of the signals.
Objective: To summarize the respiratory muscles most assessed by sEMG in the critical care setting and the assessment procedure details employed on those muscles regarding electrode placement, signal acquisition, and data analysis.
Methods: A systematic review of observational studies was registered on PROSPERO (number CRD42022354469). The databases included PubMed; SCOPUS; CINAHL, Web of Science and ScienceDirect. Two independent reviewers ran the quality assessment of the studies using the Newcastle-Ottawa Scale and Downs & Black checklists.
Results: A total of 311 participants were involved across the 16 studies, from which 62.5% (10) assessed the diaphragm muscle and 50% (8) assessed the parasternal muscle with similar electrode placement in both of them. We did not identify common patterns for the location of the electrodes in the sternocleidomastoid and anterior scalene muscles. 12/16 reported sample rate, 10/16 reported band-pass and 9/16 reported one method of cardiac-interference filtering technique. 15/16 reported Root Mean Square (RMS) or derivatives as sEMG-obtained variables. The main applicabilities were the description of muscle activation in different settings (6/16), testing of reliability and correlation to other respiratory muscles assessment techniques (7/16), and assessment of therapy response (3/16). They found sEMG feasible and useful for prognosis purposes (2/16), treatment guidance (6/16), reliable monitoring under stable conditions (3/16), and as a surrogate measure (5/16) in mechanically ventilated patients in elective or emergency invasive procedures (5/16) or in acute health conditions (11/16).
Conclusions: The diaphragm and parasternal muscles were the main muscles studied in the critical care setting, and with similar electrodes placement. However, several different methods were observed for other muscles electrodes placement, sEMG signals acquisition and data analysis.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Silva Junior 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.)
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تواريخ الأحداث: Date Created: 20230427 Date Completed: 20230501 Latest Revision: 20230511
رمز التحديث: 20230512
مُعرف محوري في PubMed: PMC10138264
DOI: 10.1371/journal.pone.0284911
PMID: 37104255
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0284911