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dc.contributor.authorBlanco Almazán, María Dolores
dc.contributor.authorGroenendaal, Willemijn
dc.contributor.authorLozano García, Manuel
dc.contributor.authorEstrada Petrocelli, Luis Carlos
dc.contributor.authorLijnen, Lien
dc.contributor.authorSmeets, Christophe
dc.contributor.authorCatthoor, Francky
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2021-01-13T10:01:42Z
dc.date.available2021-01-13T10:01:42Z
dc.date.issued2021-01-01
dc.identifier.citationBlanco-Almazán, D. [et al.]. Combining bioimpedance and myographic signals for the assessment of COPD during loaded breathing. "IEEE transactions on biomedical engineering", 27 Maig 2020, vol. 68, núm. 1, p. 298-307.
dc.identifier.issn0018-9294
dc.identifier.urihttp://hdl.handle.net/2117/335249
dc.description© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractChronic Obstructive Pulmonary Disease (COPD) is one of the most common chronic conditions. The current assessment of COPD requires a maximal maneuver during a spirometry test to quantify airflow limitations of patients. Other less invasive measurements such as thoracic bioimpedance and myographic signals have been studied as an alternative to classical methods as they provide information about respiration. Particularly, strong correlations have been shown between thoracic bioimpedance and respiratory volume. The main objective of this study is to investigate bioimpedance and its combination with myographic parameters in COPD patients to assess the applicability in respiratory disease monitoring. We measured bioimpedance, surface electromyography and surface mechanomyography in forty-three COPD patients during an incremental inspiratory threshold loading protocol. We introduced two novel features that can be used to assess COPD condition derived from the variation of bioimpedance and the electrical and mechanical activity during each respiratory cycle. These features demonstrate significant differences between mild and severe patients, indicating a lower inspiratory contribution of the inspiratory muscles to global respiratory ventilation in the severest COPD patients. In conclusion, the combination of bioimpedance and myographic signals provides useful indices to noninvasively assess the breathing of COPD patients.
dc.format.extent10 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.lcshLungs -- Diseases
dc.subject.otherBioimpedance
dc.subject.otherChronic obstructive pulmonary disease
dc.subject.otherInspiratory threshold protocol
dc.subject.otherMyographic signals
dc.subject.otherWearables
dc.titleCombining bioimpedance and myographic signals for the assessment of COPD during loaded breathing
dc.typeArticle
dc.subject.lemacPulmons -- Malalties
dc.subject.lemacImpedància (Electricitat)
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1109/TBME.2020.2998009
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9102435
dc.rights.accessOpen Access
local.identifier.drac28875764
dc.description.versionPostprint (updated version)
local.citation.authorBlanco-Almazán, D.; Groenendaal, W.; Lozano, M.; Estrada, L.; Lijnen, L.; Smeets, C.; Catthoor, F.; Jane, R.
local.citation.publicationNameIEEE transactions on biomedical engineering
local.citation.volume68
local.citation.number1
local.citation.startingPage298
local.citation.endingPage307


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