Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47922
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dc.contributor.authorKUMARASAMY, Ganesh-
dc.contributor.authorDE CANNIERE, Helene-
dc.contributor.authorDeckers, Julie-
dc.contributor.authorVRANKEN, Julie-
dc.contributor.authorRUTTENS, David-
dc.contributor.authorKarsmakers, Peter-
dc.contributor.authorVANDERVOORT, Pieter-
dc.date.accessioned2025-12-17T10:28:43Z-
dc.date.available2025-12-17T10:28:43Z-
dc.date.issued2024-
dc.date.submitted2025-11-26T14:38:39Z-
dc.identifier.citationComputing in Cardiology2024 (CinC),-
dc.identifier.issn2325-887X-
dc.identifier.urihttp://hdl.handle.net/1942/47922-
dc.description.abstractHeart failure (HF) and chronic obstructive pulmonary disease (COPD) are two common complex multimorbid cardiorespiratory diseases. Due to their complex nature, it is challenging to identify changes in health status of affected patients. In this study, we analyse the progression of functional capacity as a first step in identifying changes in disease status of HF and COPD patients. 60 patients (NHF=35, NCOPD=25) undergoing cardiopulmonary rehabilitation were included in this study. A six-minute walk test (6MWT) assessing the sixminute walking distance (6MWD) was used to monitor the functional capacity of these patients. Patients performed five 6MWTs in total (1 baseline, 4 follow-up) with spotcheck HR and SpO2 values also being measured before and after each 6MWT. The progression of the 6MWDs was analysed using a two-way mixed ANOVA. To predict changes in functional capacity, patients were divided into two groups (“improved” vs “not improved”) based on a minimal clinically significant distance change. A decision tree classifier was trained on 6MWD, HR and SpO2 data features and evaluated using balanced accuracy. The mixed ANOVA showed a significant interaction effect as well as significant between-subjects and withinsubject effects. The classifier showed good performance in predicting improvement of functional capacity.-
dc.description.sponsorshipThe authors would like to thank Daimy Roebroek, Frauke Somers and Julie Deckers for their help in collecting data from patients for this study.-
dc.language.isoen-
dc.rightsCinC is an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License. Earlier volumes appear here courtesy of the IEEE.-
dc.subject.otherHeart Failure-
dc.subject.otherChronic Obstructive Pulmonary Disease-
dc.subject.otherMachine Learning-
dc.subject.otherDecision Tree-
dc.subject.otherMixed ANOVA-
dc.titleIdentifying Changes in Functional Capacity of Cardiorespiratory Patients Undergoing Exercise Rehabilitation-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate2024, September 08-11-
local.bibliographicCitation.conferencenameComputing in Cardiology-
local.bibliographicCitation.conferenceplaceKarlsruhe (Baden-Württemberg), Germany-
dc.identifier.volume51-
local.format.pages4-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.22489/cinc.2024.166-
local.provider.typePdf-
local.bibliographicCitation.btitleComputing in Cardiology2024 (CinC)-
local.uhasselt.internationalno-
item.contributorKUMARASAMY, Ganesh-
item.contributorDE CANNIERE, Helene-
item.contributorDeckers, Julie-
item.contributorVRANKEN, Julie-
item.contributorRUTTENS, David-
item.contributorKarsmakers, Peter-
item.contributorVANDERVOORT, Pieter-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.fullcitationKUMARASAMY, Ganesh; DE CANNIERE, Helene; Deckers, Julie; VRANKEN, Julie; RUTTENS, David; Karsmakers, Peter & VANDERVOORT, Pieter (2024) Identifying Changes in Functional Capacity of Cardiorespiratory Patients Undergoing Exercise Rehabilitation. In: Computing in Cardiology2024 (CinC),.-
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