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  • 标题:Assessment and data processing tools of inspiratory muscle fatigue evaluation using surface electromyography: a systematic review
  • 本地全文:下载
  • 作者:Alana Elza Fontes da Gama ; Antônio Francisco de Andrade Ferreira Filho ; Marco Aurélio Benedetti Rodrigues
  • 期刊名称:Journal of Respiratory and CardioVascular Physical Therapy
  • 印刷版ISSN:2238-4677
  • 出版年度:2013
  • 卷号:2
  • 期号:1
  • 页码:3-10
  • 语种:English
  • 出版社:Journal of Respiratory and CardioVascular Physical Therapy
  • 摘要:Objectives: To analyze inspiratory muscle fatigue using surface electromyography (SEMG).Methods: Searches were carried out in PUBMED, SCOPUS, CINAHL and SCIRUS databases by two researchers using the MeSH list keywords: electromyography, respiratory muscles and muscle fatigue. Complete cross-sectional studies in English, Portuguese and French from the last 10 years in which SEMG was used to analyze inspiratory muscle fatigue in humans were included. The Agency for Healthcare Research and Quality (AHRQ) scale was used to evaluate the quality of the studies.Results: 12 studies were selected, with total sample of 159 subjects (healthy or with respiratory disease) evaluated during exercise or inspiratory effort. Most studies assessed sternocleidomastoid muscles and some assessed the intercostals and diaphragm muscles. The most common signal processing was frequency analysis; root mean square, power and energy analyses were also found.Conclusion: Validation studies are needed for the standardization of SEMG on this muscle group and as well as myoelectrical signal processing in order to identify the most adequate form of analysis for different muscle activities.
  • 关键词:Electromyography, respiratory muscles, muscle fatigue.
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