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dc.contributor.authorPalmieri, Flavio
dc.contributor.authorGomis Román, Pedro
dc.contributor.authorRuiz Laiglesia, José Esteban
dc.contributor.authorFerreira, Dina
dc.contributor.authorMartín-Yebra, Alba
dc.contributor.authorPueyo, Esther
dc.contributor.authorMartínez, Juan Pablo
dc.contributor.authorRamírez, Julia
dc.contributor.authorLaguna, Pablo
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.accessioned2021-05-18T08:51:34Z
dc.date.available2021-05-18T08:51:34Z
dc.date.issued2021-04-12
dc.identifier.citationPalmieri, F. [et al.]. Nonlinear T-wave time warping-based sensing model for non-invasive personalised blood potassium monitoring in hemodialysis patients: a pilot study. "Sensors", 12 Abril 2021, vol. 21, núm. 8, p. 2710/1-2710/13.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/2117/345816
dc.description.abstractBackground: End-stage renal disease patients undergoing hemodialysis (ESRD-HD) therapy are highly susceptible to malignant ventricular arrhythmias caused by undetected potassium concentration ([K+]) variations (¿[K+]) out of normal ranges. Therefore, a reliable method for continuous, noninvasive monitoring of [K+] is crucial. The morphology of the T-wave in the electrocardiogram (ECG) reflects ¿[K+] and two time-warping-based T-wave morphological parameters, dw and its heart-rate corrected version dw,c, have been shown to reliably track ¿[K+] from the ECG. The aim of this study is to derive polynomial models relating dw and dw,c with ¿[K+], and to test their ability to reliably sense and quantify ¿[K+] values. Methods: 48-hour Holter ECGs and [K+] values from six blood samples were collected from 29 ESRD-HD patients. For every patient, dw and dw,c were computed, and linear, quadratic, and cubic fitting models were derived from them. Then, Spearman’s (¿) and Pearson’s (r) correlation coefficients, and the estimation error (ed) between ¿[K+] and the corresponding model-estimated values (¿^[K+]) were calculated. Results and Discussions: Nonlinear models were the most suitable for ¿[K+] estimation, rendering higher Pearson’s correlation (median 0.77 =r= 0.92) and smaller estimation error (median 0.20 =ed= 0.43) than the linear model (median 0.76 =r= 0.86 and 0.30 =ed= 0.40), even if similar Spearman’s ¿ were found across models (median 0.77 =¿= 0.83). Conclusion: Results support the use of nonlinear T-wave-based models as ¿[K+] sensors in ESRD-HD patients.
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rightsAttribution-NonCommercial-NoDerivate 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut
dc.subject.lcshKidneys--Diseases
dc.subject.lcshElectrocardiography
dc.subject.otherElectrocardiogram
dc.subject.otherPeriodic component analysis
dc.subject.otherT-wave morphology
dc.subject.otherTime warping
dc.subject.otherNoninvasive potassium sensing
dc.subject.otherPersonalised medicine
dc.titleNonlinear T-wave time warping-based sensing model for non-invasive personalised blood potassium monitoring in hemodialysis patients: a pilot study
dc.typeArticle
dc.subject.lemacRonyons -- Malalties
dc.subject.lemacElectrocardiografia
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.identifier.doi10.3390/s21082710
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/21/8/2710
dc.rights.accessOpen Access
local.identifier.drac31235081
dc.description.versionPostprint (published version)
local.citation.authorPalmieri, F.; Gomis, P.; Ruiz, J.; Ferreira, D.; Martín-Yebra, A.; Pueyo, E.; Martínez, J.; Ramírez, J.; Laguna, P.
local.citation.publicationNameSensors
local.citation.volume21
local.citation.number8
local.citation.startingPage2710/1
local.citation.endingPage2710/13


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