Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33343
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBlanco-Almazan, Dolores-
dc.contributor.authorGroenendaal, Willemijn-
dc.contributor.authorLozano-Garcia, Manuel-
dc.contributor.authorEstrada-Petrocelli, Luis-
dc.contributor.authorLijnen, Lien-
dc.contributor.authorSMEETS, Christophe-
dc.contributor.authorRUTTENS, David-
dc.contributor.authorCatthoor, Francky-
dc.contributor.authorJane, Raimon-
dc.date.accessioned2021-02-10T08:49:45Z-
dc.date.available2021-02-10T08:49:45Z-
dc.date.issued2021-
dc.date.submitted2021-02-02T13:14:58Z-
dc.identifier.citationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 68 (1) , p. 298 -307-
dc.identifier.urihttp://hdl.handle.net/1942/33343-
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.description.sponsorshipThis work was supported in part by the Universities and Research Secretariat from the Ministry of Business and Knowledge/Generalitat de Catalunya under Grant FI-DGR and Grant GRC 2017 SGR 01770, in part by the Agencia Estatal de Investigacion from the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund, under the Grant RTI2018098472-B-I00, and in part by the CERCA Programme/Generalitat de Catalunya.-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.rights2020 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending an email to pubs-permissions@ieee.org.-
dc.subject.otherBioimpedance-
dc.subject.otherElectrodes-
dc.subject.otherDiseases-
dc.subject.otherProtocols-
dc.subject.otherBiomedical measurement-
dc.subject.otherCurrent measurement-
dc.subject.otherElectronic mail-
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.typeJournal Contribution-
dc.identifier.epage307-
dc.identifier.issue1-
dc.identifier.spage298-
dc.identifier.volume68-
local.format.pages10-
local.bibliographicCitation.jcatA1-
dc.description.notesBlanco-Almazan, D (corresponding author), Barcelona Inst Sci & Technol, Inst Bioengn Catalonia IBEC, Barcelona 08028, Spain.; Blanco-Almazan, D (corresponding author), Biomed Res Networking Ctr Bioengn Biomat & Nanome, Barcelona 08028, Spain.-
dc.description.notesdblanco@ibecbarcelona.eu-
dc.description.otherBlanco-Almazan, D (corresponding author), Barcelona Inst Sci & Technol, Inst Bioengn Catalonia IBEC, Barcelona 08028, Spain. Biomed Res Networking Ctr Bioengn Biomat & Nanome, Barcelona 08028, Spain. dblanco@ibecbarcelona.eu-
local.publisher.place445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1109/TBME.2020.2998009-
dc.identifier.isiWOS:000602691200029-
dc.contributor.orcidEstrada-Petrocelli, Luis/0000-0002-4126-4462; Jane,-
dc.contributor.orcidRaimon/0000-0002-6541-8729; Lozano Garcia, Manuel/0000-0002-4146-9839;-
dc.contributor.orcidBlanco-Almazan, Dolores/0000-0002-8532-5394-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Blanco-Almazan, Dolores; Lozano-Garcia, Manuel; Estrada-Petrocelli, Luis; Jane, Raimon] Barcelona Inst Sci & Technol, Inst Bioengn Catalonia IBEC, Barcelona 08028, Spain.-
local.description.affiliation[Blanco-Almazan, Dolores; Lozano-Garcia, Manuel; Estrada-Petrocelli, Luis; Jane, Raimon] Biomed Res Networking Ctr Bioengn Biomat & Nanome, Barcelona 08028, Spain.-
local.description.affiliation[Blanco-Almazan, Dolores; Lozano-Garcia, Manuel; Jane, Raimon] Univ Politecn Cataluna, Dept Automat Control ESAII, Barcelona 08034, Spain.-
local.description.affiliation[Groenendaal, Willemijn] IMEC, Holst Ctr, Eindhoven, Netherlands.-
local.description.affiliation[Estrada-Petrocelli, Luis] Univ Latina Panama, Fac Ingn, Panama City, Panama.-
local.description.affiliation[Lijnen, Lien] Hasselt Univ, Fac Med & Life Sci, Hasselt, Belgium.-
local.description.affiliation[Smeets, Christophe] Ziekenhuis Oost Limburg, Future Hlth Dept, Genk, Belgium.-
local.description.affiliation[Ruttens, David] Ziekenhuis Oost Limburg, Dept Resp Med, Genk, Belgium.-
local.description.affiliation[Catthoor, Francky] IMEC, Leuven, Belgium.-
local.description.affiliation[Catthoor, Francky] Katholieke Univ Leuven, Leuven, Belgium.-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.contributorBlanco-Almazan, Dolores-
item.contributorGroenendaal, Willemijn-
item.contributorLozano-Garcia, Manuel-
item.contributorEstrada-Petrocelli, Luis-
item.contributorLijnen, Lien-
item.contributorSMEETS, Christophe-
item.contributorRUTTENS, David-
item.contributorCatthoor, Francky-
item.contributorJane, Raimon-
item.accessRightsOpen Access-
item.fullcitationBlanco-Almazan, Dolores; Groenendaal, Willemijn; Lozano-Garcia, Manuel; Estrada-Petrocelli, Luis; Lijnen, Lien; SMEETS, Christophe; RUTTENS, David; Catthoor, Francky & Jane, Raimon (2021) Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing. In: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 68 (1) , p. 298 -307.-
item.fulltextWith Fulltext-
crisitem.journal.issn0018-9294-
crisitem.journal.eissn1558-2531-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
09102435.pdfPublished version2.48 MBAdobe PDFView/Open
Show simple item record

WEB OF SCIENCETM
Citations

14
checked on May 2, 2024

Page view(s)

24
checked on Sep 5, 2022

Download(s)

8
checked on Sep 5, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.