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Assessment of inspiratory muscle activation using surface diaphragm mechanomyography and crural diaphragm electromyography

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10.1109/EMBC.2018.8513046
 
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hdl:2117/131536

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Lozano García, ManuelMés informacióMés informació
Sarlabous Uranga, LeonardoMés informació
Torres Cebrián, AbelMés informacióMés informacióMés informació
Jané Campos, RaimonMés informacióMés informacióMés informació
Document typeConference report
Defense date2018
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The relationship between surface diaphragm mechanomyography (sMMGdi), as a noninvasive measure of inspiratory muscle mechanical activation, and crural diaphragm electromyography (oesEMGdi), as the invasive gold standard measure of diaphragm electrical activation, had not previously been examined. To investigate this relationship, oesEMGdi and sMMGdi were measured simultaneously in 6 healthy subjects during an incremental inspiratory threshold loading protocol, and analyzed using fixed sample entropy (fSampEn). A positive curvilinear relationship was observed between mean fSampEn sMMGdi and oesEMGdi (r = 0.67). Accordingly, an increasing electromechanical ratio was also observed with increasing inspiratory load. These findings suggest that sMMGdi could provide useful noninvasive measures of inspiratory muscle mechanical activation.
CitationLozano, M. [et al.]. Assessment of inspiratory muscle activation using surface diaphragm mechanomyography and crural diaphragm electromyography. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society". 2018, p. 3342-3345. 
URIhttp://hdl.handle.net/2117/131536
DOI10.1109/EMBC.2018.8513046
Publisher versionhttps://ieeexplore.ieee.org
Other identifiershttps://ieeexplore.ieee.org/document/8513046
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.415]
  • BIOSPIN - Biomedical Signal Processing and Interpretation - Ponències/Comunicacions de congressos [70]
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