000109481 001__ 109481
000109481 005__ 20240209144726.0
000109481 0247_ $$2doi$$a10.3390/s21082710
000109481 0248_ $$2sideral$$a125678
000109481 037__ $$aART-2021-125678
000109481 041__ $$aeng
000109481 100__ $$aPalmieri, Flavio
000109481 245__ $$aNonlinear T-Wave Time Warping-Based Sensing Model for Non-Invasive Personalised Blood Potassium Monitoring in Hemodialysis Patients: A Pilot Study
000109481 260__ $$c2021
000109481 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109481 5203_ $$aBackground: End-stage renal disease patients undergoing hemodialysis (ESRD-HD) therapy are highly susceptible to malignant ventricular arrhythmias caused by undetected potassium concentration ([K+]) variations (Δ[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 Δ[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 Δ[K+] from the ECG. The aim of this study is to derive polynomial models relating dw and dw,c with Δ[K+], and to test their ability to reliably sense and quantify Δ[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 (ρ) and Pearson’s (r) correlation coefficients, and the estimation error (ed) between Δ[K+] and the corresponding model-estimated values (Δ^[K+]) were calculated. Results and Discussions: Nonlinear models were the most suitable for Δ[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 ρ were found across models (median 0.77 ≤ρ≤ 0.83). Conclusion: Results support the use of nonlinear T-wave-based models as Δ[K+] sensors in ESRD-HD patients.
000109481 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/PID2019-105674RB-I00$$9info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
000109481 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109481 590__ $$a3.847$$b2021
000109481 592__ $$a0.803$$b2021
000109481 594__ $$a6.4$$b2021
000109481 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2
000109481 593__ $$aAnalytical Chemistry$$c2021$$dQ1
000109481 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1
000109481 593__ $$aBiochemistry$$c2021$$dQ1
000109481 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 274 = 0.347$$c2021$$dQ2$$eT2
000109481 593__ $$aInstrumentation$$c2021$$dQ1
000109481 593__ $$aInformation Systems$$c2021$$dQ1
000109481 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1
000109481 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109481 700__ $$aGomis, Pedro
000109481 700__ $$0(orcid)0000-0002-4351-8518$$aRuiz, José Esteban$$uUniversidad de Zaragoza
000109481 700__ $$aFerreira, Dina
000109481 700__ $$0(orcid)0000-0003-0226-4950$$aMartín-Yebra, Alba
000109481 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000109481 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, Juan Pablo$$uUniversidad de Zaragoza
000109481 700__ $$0(orcid)0000-0003-4130-5866$$aRamírez, Julia
000109481 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000109481 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000109481 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000109481 773__ $$g21, 8 (2021), 21082710 [13 pp.]$$pSensors$$tSensors$$x1424-8220
000109481 8564_ $$s1508476$$uhttps://zaguan.unizar.es/record/109481/files/texto_completo.pdf$$yVersión publicada
000109481 8564_ $$s2664828$$uhttps://zaguan.unizar.es/record/109481/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109481 909CO $$ooai:zaguan.unizar.es:109481$$particulos$$pdriver
000109481 951__ $$a2024-02-09-14:45:30
000109481 980__ $$aARTICLE