Innovative solutions in health monitoring at home: The real-time assessment of serum potassium concentration from ECG

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Abstract

Maintenance of normal potassium homeostasis is increasingly an important limiting factor in the therapy of several diseases including patients with heart failure. Nowadays, quantification of potassium concentration in the blood ([K +]) is invasive and laboratory-based. The aims of the study were to develop a method quantifying [K +] from the electrocardiogram (ECG) and validate it on 13 hemodialysis (HD) and 7 congenital long-QT type 2 (LQT2) patients. Reference values were obtained from blood samples. An ECG-based potassium estimator (K ECG) was defined and compared to the reference values. Data from 33/39 HD sessions gave consistent results. In 6 sessions, the presence of a systematic error inhibited reliable estimates. Patient specific calibration allowed good agreement in all HD patients (error: -0.04±0.61mM). As expected, [K +] was significantly underestimated in LQT2 patients (error: 1.24±0.75mM, p<0.01). Preliminary results show K ECG estimates can be an effective tool for hyper/hypokalemic risk patient monitoring at home. © 2012 Springer-Verlag.

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Corsi, C., De Bie, J., Mortara, D., & Severi, S. (2012). Innovative solutions in health monitoring at home: The real-time assessment of serum potassium concentration from ECG. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7251 LNCS, pp. 116–123). https://doi.org/10.1007/978-3-642-30779-9_15

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