Title :
Validation of a novel method for non-invasive blood potassium quantification from the ECG
Author :
Corsi, C. ; DeBie, J. ; Napolitano, Carlo ; Priori, S. ; Mortara, D. ; Severi, Simone
Author_Institution :
DEIS, Univ. of Bologna, Cesena, Italy
Abstract :
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.
Keywords :
blood; cellular biophysics; data acquisition; diseases; electrocardiography; estimation theory; haemodynamics; measurement errors; medical signal processing; potassium; ECG analysis; ECG recordings; ECG-based potassium estimator; T-wave amplitude; T-wave descending slope; T-wave morphology; blood potassium concentration; blood samples; congenital LQT2 patient estimator; data acquisition; electrocardiography; extracellular potassium; hemodialysis patients; hyperkalemia; hypokalemia; noninvasive blood potassium quantification; standard deviation; systematic error; Biomedical monitoring; Blood; Electrocardiography; High definition video; Medical treatment; Monitoring; Morphology;
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4673-2076-4