Differences between model-based electrocardiogram T Wave features before and after haemodialysis

Rodrigues, Ana Santos; Marozas, Vaidotas; Daukantas, Saulius; Kušleikaitė-Pere, Neda; Stramaityte, Irmante; Bumblytė, Inga-Arūnė; Kaldoudi, Eleni

doi:10.1109/biocas.2017.8325085

Cited by 1 publication

(2 citation statements)

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“…An alternative method to quantify electrolyte-induced changes can be through the yielded parameters of model-based parameterization, a method with an increased robustness to noise that is propitious in ambulatory ECG recordings. In our previous work, we selected a lognormal function as a model for the T wave due to its ability to obtain an asymmetrical shape [7]. Despite showing responsiveness to morphology variations before and after HD, the model does not distinguish changes on each slope of the T wave separately.…”

Section: T Wave Modelingmentioning

confidence: 99%

“…This variation in peakedness is correlated with SELs and can be an indicator of EFs [2,3]. A possible way to measure peakedness is through T wave amplitude (T Amp ), which, as several studies demonstrated, is unreliable in identifying EFs [5,7]. A hypothetical method to quantify T wave peakedness is through the angle, θ, between the right and left slopes.…”

Section: T Wave Featuresmentioning

confidence: 99%

See 1 more Smart Citation

ECG-Based Monitoring of Electrolyte Fluctuations During the Long Interdialytic Interval

Rodrigues¹,

Petrėnas²,

Marozas³

et al. 2018

2018 Computing in Cardiology Conference (CinC)

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Hemodialysis (HD) patients have a higher risk of sudden death due to cardiac arrhythmias, which commonly occur during the long interdialytic interval (LII) as a result of electrolyte fluctuations (EFs). Noninvasive monitoring of EFs would enable restoring normal serum electrolyte levels (SELs) by performing early HD before the onset of arrhythmias. In this study, we propose an ECGderived descriptor, θ µ , that is noise robust and capable of capturing EFs during HD and the LII. To investigate the variation of θ µ , ECG and blood samples of 3 patients were acquired continuously, starting at Friday's HD and ending at Monday's HD. Results show that the increase of θ µ during Friday's HD is correlated with the decrease of SELs. Moreover, θ µ tends to decrease during the LII (no blood samples were obtained) and further increases during Monday's HD. If results in larger databases are confirmed, θ µ might be suitable for noninvasive monitoring of EFs during the LII.

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Section: T Wave Modelingmentioning

confidence: 99%