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Dataset Information

Novel Bloodless Potassium Determination Using a Signal-Processed Single-Lead ECG.


ABSTRACT:

Background

Hyper- and hypokalemia are clinically silent, common in patients with renal or cardiac disease, and are life threatening. A noninvasive, unobtrusive, blood-free method for tracking potassium would be an important clinical advance.

Methods and results

Two groups of hemodialysis patients (development group, n=26; validation group, n=19) underwent high-resolution digital ECG recordings and had 2 to 3 blood tests during dialysis. Using advanced signal processing, we developed a personalized regression model for each patient to noninvasively calculate potassium values during the second and third dialysis sessions using only the processed single-channel ECG. In addition, by analyzing the entire development group's first-visit data, we created a global model for all pati

SUBMITTER: Attia ZI 

PROVIDER: S-EPMC4859394 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature