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dc.contributor.authorRàfols de Urquía, Magda
dc.contributor.authorEstrada Petrocelli, Luis Carlos
dc.contributor.authorEstévez Piorno, Josep
dc.contributor.authorSarlabous, Leonardo
dc.contributor.authorJané Campos, Raimon
dc.contributor.authorTorres Cebrián, Abel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2020-04-03T10:52:22Z
dc.date.available2020-04-03T10:52:22Z
dc.date.issued2019
dc.identifier.citationRàfols-de-Urquía, M. [et al.]. Evaluation of a wearable device to determine cardiorespiratory parameters from surface diaphragm electromyography. "IEEE Journal of Biomedical and Health Informatics", 2019, vol. 23, núm. 5, p. 1964-1971.
dc.identifier.issn2168-2194
dc.identifier.urihttp://hdl.handle.net/2117/183065
dc.description.abstractUsing wearable devices in clinical routines could reduce healthcare costs and improve the quality of assessment in patients with chronic respiratory diseases. The purpose of this study is to evaluate the capability of a Shimmer3 wearable device device to extract reliable cardiorespiratory parameters from surface diaphragm electromyography (EMGdi). Twenty healthy volunteers underwent an incremental load respiratory test whilst EMGdi was recorded with a Shimmer3 wearable device (EMGdiW). Simultaneously, a second EMGdi (EMGdiL), the inspiratory mouth pressure (Pmouth) and the lead-I electrocardiogram (ECG) were recorded via a standard wired laboratory acquisition system. Different cardiorespiratory parameters have been extracted from both EMGdiW and EMGdiL signals.: heart rate, respiratory rate, respiratory muscle activity and mean frequency of EMGdi signals. Alongside these, similar parameters were also extracted from reference signals (Pmouth and ECG). High correlations were found between the data extracted from the EMGdiW and the reference signal data: heart rate (R = 0.947), respiratory rate (R = 0.940), respiratory muscle activity (R = 0.877), and mean frequency (R = 0.895). Moreover, similar increments in EMGdiW and EMGdiL activity were observed when Pmouth was raised, enabling the study of respiratory muscle activation. In summary, the Shimmer3 device is a promising and cost-effective solution for ambulatory monitoring of respiratory muscle function in chronic respiratory diseases.
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshComputational biology
dc.subject.otherNon-invasive respiratory monitoring
dc.subject.otherCardiorespiratory monitoring
dc.subject.otherSurface diaphragm electromyography
dc.subject.otherWearable wireless device
dc.subject.otherChronic respiratory diseases
dc.subject.otherFixed sample entropy
dc.titleEvaluation of a wearable device to determine cardiorespiratory parameters from surface diaphragm electromyography
dc.typeArticle
dc.subject.lemacBiologia computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1109/JBHI.2018.2885138
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8561279
dc.rights.accessOpen Access
local.identifier.drac27092848
dc.description.versionPostprint (author's final draft)
local.citation.authorRàfols-de-Urquía, M.; Estrada, L.; Estévez-Piorno, J.; Sarlabous, L.; Jane, R.; Torres, A.
local.citation.publicationNameIEEE Journal of Biomedical and Health Informatics
local.citation.volume23
local.citation.number5
local.citation.startingPage1964
local.citation.endingPage1971


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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