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Nonlinear T-wave time warping-based sensing model for non-invasive personalised blood potassium monitoring in hemodialysis patients: a pilot study

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10.3390/s21082710
 
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hdl:2117/345816

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Palmieri, FlavioMés informacióMés informacióMés informació
Gomis Román, PedroMés informacióMés informacióMés informació
Ruiz Laiglesia, José Esteban
Ferreira, Dina
Martín-Yebra, Alba
Pueyo, Esther
Martínez, Juan Pablo
Ramírez, Julia
Laguna, Pablo
Document typeArticle
Defense date2021-04-12
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 4.0 International
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 4.0 International
Abstract
Background: 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.
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. 
URIhttp://hdl.handle.net/2117/345816
DOI10.3390/s21082710
ISSN1424-8220
Publisher versionhttps://www.mdpi.com/1424-8220/21/8/2710
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.323]
  • Doctorat en Enginyeria Biomèdica - Articles de revista [90]
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