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dc.contributor.authorPalmieri, Flavio
dc.contributor.authorGomis Román, Pedro
dc.contributor.authorFerreira, Dina
dc.contributor.authorRuiz, José Esteban
dc.contributor.authorMartín-Yebra, Alba
dc.contributor.authorPueyo, Esther
dc.contributor.authorLaguna Lasaosa, Pablo
dc.contributor.authorMártinez, Juan Pablo
dc.contributor.authorRamírez, Julia
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.identifier.citationPalmieri, F. [et al.]. Potassium monitoring from multilead T-wave morphology changes during hemodyalisis: periodic versus principal component analysis. A: Computing in Cardiology. "2020 Computing in Cardiology Conference (CinC)". 2020, p. 1-4. DOI 10.22489/CinC.2020.199.
dc.description.abstractBackground: End-stage renal disease (ESRD) patients undergoing hemodyalisis therapy (HD) experience blood potassium ([K+]) variations that are reflected on the T-wave (TW) morphology. Methods: We evaluated the performance of different lead space reduction (LSR) methods: principal component analysis (PCA), maximising the TW energy, and two derived versions of periodic component analysis (pCA) named pCAB and pCAT, maximising the QRST or TW beat periodicity. We applied these methods to 2-lead electrocardiogram (ECG) from 24 ESRD-HD patients. Then, we derived three markers of TW morphology changes (du , dw and dˆw,c), comparing an average TW derived every 30 min with that at the HD end, from the PCA, pCAB and pCAT based leads having the highest TW energy content. Similarities between these three methods were assessed by using Bland-Altman plots and the linear fitting error (e) evaluated from the 12th to the 44th h of ECG recordings after the HD onset. Results: All series of du , da, dw and dˆw,c values showed good degree of mutual agreement (median bias = 0.5 ms) and a small deviation from linearity in the [K+] increasing stage (median bias = 3.3 ms). Conclusions: PCA and pCA can be used interchangeably to track TW changes in ESRD-HD patient.
dc.format.extent4 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshBiomedical engineering
dc.titlePotassium monitoring from multilead T-wave morphology changes during hemodyalisis: periodic versus principal component analysis
dc.typeConference lecture
dc.subject.lemacCor -- Malalties
dc.subject.lemacEnginyeria biomèdica
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2PE/2018 DI 001
local.citation.authorPalmieri, F.; Gomis, P.; Ferreira, D.; Ruiz, J.; Martín-Yebra, A.; Pueyo, E.; Laguna, P.; Mártinez, J.; Ramírez, J.
local.citation.contributorComputing in Cardiology
local.citation.publicationName2020 Computing in Cardiology Conference (CinC)

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