Validation of a novel method for non-invasive blood potassium quantification from the ECG

Cristiana Corsi, Johan Debie, Carlo Napolitano, Silvia Priori, David Mortara, Stefano Severi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Blood potassium concentration [K+] has a strong influence on ECG and particularly on T-wave morphology. We previously developed a method to quantify [K+] from ECG analysis. The aims of the study were i) to test this method quantifying [K+] on a larger group of hemodialysis (HD) patients ii) to give a mechanical interpretation of the link between [K+] and ECG by testing the estimator on congenital LQT2 patients. The ECG-based potassium estimator (KECG), based on the ratio between the T-wave descending slope and the T-wave amplitude (TS/A) was tested on 69 HD sessions (23 patients, 3 sessions each) and on 12 LQT2 patients. ECG recordings were acquired and [K+] values were measured from blood samples (KLAB). The agreement between KECG and KLAB was satisfactory in the HD patients (absolute error: 0.43±0.28mM). The systematic error was very small (0.05mM) while the standard deviation was 0.5mM. As expected, in LQT2 patients our method significantly underestimated [K+] (error: 1.15±0.68mM), thus pointing to the IKr dependence on extracellular potassium in determining the link between [K+] and T-wave morphology. This method could be effectively applied to monitor patients at risk for hyper- and hypokalemia.

Original languageEnglish
Title of host publicationComputing in Cardiology
Number of pages4
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012


Other39th Computing in Cardiology Conference, CinC 2012

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)


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