Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39317
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dc.contributor.authorBlanco-Almazan, Dolores-
dc.contributor.authorGroenendaal, Willemijn-
dc.contributor.authorLijnen, Lien-
dc.contributor.authorONDER, Rana-
dc.contributor.authorSMEETS, Christophe-
dc.contributor.authorRUTTENS, David-
dc.contributor.authorCatthoor, Francky-
dc.contributor.authorJane, Raimon-
dc.date.accessioned2023-01-24T10:58:47Z-
dc.date.available2023-01-24T10:58:47Z-
dc.date.issued2022-
dc.date.submitted2023-01-12T15:07:51Z-
dc.identifier.citationIEEE Journal of Biomedical and Health Informatics, 26 (12) , p. 5983 -5991-
dc.identifier.urihttp://hdl.handle.net/1942/39317-
dc.description.abstractBreathing pattern has been shown to be different in chronic obstructive pulmonary disease (COPD) patients compared to healthy controls during rest and walking. In this study we evaluated respiratory parameters and the breathing variability of COPD patients as a function of their severity. Thoracic bioimpedance was acquired on 66 COPD patients during the performance of the six-minute walk test (6MWT), as well as 5 minutes before and after the test while the patients were seated, i.e. resting and recovery phases. The patients were classified by their level of airflow limitation into moderate and severe groups. We characterized the breathing patterns by evaluating common respiratory parameters using only wearable bioimpedance. Specifically, we computed the median and the coefficient of variation of the parameters during the three phases of the protocol, and evaluated the statistical differences between the two COPD severity groups. We observed significant differences between the COPD severity groups only during the sitting phases, whereas the behavior during the 6MWT was similar. Particularly, we observed an inverse relationship between breathing pattern variability and COPD severity, which may indicate that the most severely diseased patients had a more restricted breathing compared to the moderate patients.-
dc.description.sponsorshipMinistry of Business and Knowledge/Generalitat de Catalunya [GRC 2017SGR-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.rightsIEEE. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subject.otherBioimpedance-
dc.subject.otherchronic obstructive pulmonary disease-
dc.subject.other6MWT-
dc.subject.otherbreathing pattern-
dc.subject.otherwearables-
dc.titleBreathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity-
dc.typeJournal Contribution-
dc.identifier.epage5991-
dc.identifier.issue12-
dc.identifier.spage5983-
dc.identifier.volume26-
local.format.pages9-
local.bibliographicCitation.jcatA1-
dc.description.notesBlanco-Almazan, D (corresponding author), Univ Politecn Catalunya UPC BarcelonaTech, Dept Automat Control ESAII, Barcelona 08034, Spain.-
dc.description.notesdblanco@ibecbarcelona.eu; willemijn.groenendaal@imec.nl;-
dc.description.noteslien.lijnen@hotmail.com; rana.onder@uhasselt.be;-
dc.description.noteschristophe.smeets@zol.be; david.ruttens@zol.be;-
dc.description.notesfrancky.catthoor@imec.be; rjane@ibecbarcelona.eu-
local.publisher.place445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1109/JBHI.2022.3207416-
dc.identifier.pmid36121947-
dc.identifier.isi000896646000001-
dc.contributor.orcidBlanco-Almazan, Dolores/0000-0002-8532-5394; Jane,-
dc.contributor.orcidRaimon/0000-0002-6541-8729-
local.provider.typewosris-
local.description.affiliation[Blanco-Almazan, Dolores; Jane, Raimon] Univ Politecn Catalunya UPC BarcelonaTech, Dept Automat Control ESAII, Barcelona 08034, Spain.-
local.description.affiliation[Blanco-Almazan, Dolores; Jane, Raimon] Barcelona Inst Sci & Technol, Inst Bioengn Catalonia IBEC, Barcelona 08028, Spain.-
local.description.affiliation[Blanco-Almazan, Dolores; Jane, Raimon] Biomed Res Networking Ctr Bioengn Biomat & Nanome, Barcelona 08028, Spain.-
local.description.affiliation[Groenendaal, Willemijn] Hoist Ctr, NL-5656 AE Eindhoven, Netherlands.-
local.description.affiliation[Lijnen, Lien; Onder, Rana; Ruttens, David] Hasselt Univ, Dept Med & Life Sci, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Smeets, Christophe] Ziekenhuis Oost Limburg, Future Hlth Dept, B-3600 Genk, Belgium.-
local.description.affiliation[Ruttens, David] Ziekenhuis Oost Limburg, Dept Resp Med, B-3600 Genk, Belgium.-
local.description.affiliation[Catthoor, Francky] IMEC, B-3001 Leuven, Belgium.-
local.description.affiliation[Catthoor, Francky] Katholieke Univ Leuven, B-3001 Leuven, Belgium.-
local.uhasselt.internationalyes-
item.fullcitationBlanco-Almazan, Dolores; Groenendaal, Willemijn; Lijnen, Lien; ONDER, Rana; SMEETS, Christophe; RUTTENS, David; Catthoor, Francky & Jane, Raimon (2022) Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity. In: IEEE Journal of Biomedical and Health Informatics, 26 (12) , p. 5983 -5991.-
item.contributorBlanco-Almazan, Dolores-
item.contributorGroenendaal, Willemijn-
item.contributorLijnen, Lien-
item.contributorONDER, Rana-
item.contributorSMEETS, Christophe-
item.contributorRUTTENS, David-
item.contributorCatthoor, Francky-
item.contributorJane, Raimon-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
crisitem.journal.issn2168-2194-
crisitem.journal.eissn2168-2208-
Appears in Collections:Research publications
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