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

<h4>Background</h4> 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. <h4>Objective</h4> To summar...

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Main Authors: Emanuel Fernandes Ferreira da Silva Junior, Shirley Lima Campos, Wagner Souza Leite, Pedro Vanderlei de Sousa Melo, Rômulo Aquino Coelho Lins, Maria das Graças Rodrigues de Araújo, Marcelo Renato Guerino
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138264/?tool=EBI
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author Emanuel Fernandes Ferreira da Silva Junior
Shirley Lima Campos
Wagner Souza Leite
Pedro Vanderlei de Sousa Melo
Rômulo Aquino Coelho Lins
Maria das Graças Rodrigues de Araújo
Marcelo Renato Guerino
author_facet Emanuel Fernandes Ferreira da Silva Junior
Shirley Lima Campos
Wagner Souza Leite
Pedro Vanderlei de Sousa Melo
Rômulo Aquino Coelho Lins
Maria das Graças Rodrigues de Araújo
Marcelo Renato Guerino
author_sort Emanuel Fernandes Ferreira da Silva Junior
collection DOAJ
description <h4>Background</h4> 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. <h4>Objective</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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). <h4>Conclusions</h4> 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.
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spelling doaj.art-6753dbc5397f4ce2aab67148980de1332023-05-01T05:31:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic reviewEmanuel Fernandes Ferreira da Silva JuniorShirley Lima CamposWagner Souza LeitePedro Vanderlei de Sousa MeloRômulo Aquino Coelho LinsMaria das Graças Rodrigues de AraújoMarcelo Renato Guerino<h4>Background</h4> 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. <h4>Objective</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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). <h4>Conclusions</h4> 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138264/?tool=EBI
spellingShingle Emanuel Fernandes Ferreira da Silva Junior
Shirley Lima Campos
Wagner Souza Leite
Pedro Vanderlei de Sousa Melo
Rômulo Aquino Coelho Lins
Maria das Graças Rodrigues de Araújo
Marcelo Renato Guerino
Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
PLoS ONE
title Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
title_full Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
title_fullStr Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
title_full_unstemmed Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
title_short Surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients: A systematic review
title_sort surface electromyography signal processing and evaluation on respiratory muscles of critically ill patients a systematic review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138264/?tool=EBI
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