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J Electrocardiol. 2017 Sep - Oct;50(5):620-625. doi: 10.1016/j.jelectrocard.2017.06.008. Epub 2017 Jun 8.

Noninvasive blood potassium measurement using signal-processed, single-lead ecg acquired from a handheld smartphone.

Author information

1
Department of Internal Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, USA; Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
2
Department of Internal Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, USA; Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, USA; Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva, Israel.
3
Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
4
Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
5
Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva, Israel.
6
Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
7
Division of Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
8
Mayo Clinic Ventures, 200 First Street SW, Rochester, MN, USA.
9
Department of Internal Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, USA; Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, USA. Electronic address: pfriedman@mayo.edu.

Abstract

OBJECTIVE:

We have previously used a 12-lead, signal-processed ECG to calculate blood potassium levels. We now assess the feasibility of doing so with a smartphone-enabled single lead, to permit remote monitoring.

PATIENTS AND METHODS:

Twenty-one hemodialysis patients held a smartphone equipped with inexpensive FDA-approved electrodes for three 2min intervals during hemodialysis. Individualized potassium estimation models were generated for each patient. ECG-calculated potassium values were compared to blood potassium results at subsequent visits to evaluate the accuracy of the potassium estimation models.

RESULTS:

The mean absolute error between the estimated potassium and blood potassium 0.38±0.32 mEq/L (9% of average potassium level) decreasing to 0.6 mEq/L using predictors of poor signal.

CONCLUSIONS:

A single-lead ECG acquired using electrodes attached to a smartphone device can be processed to calculate the serum potassium with an error of 9% in patients undergoing hemodialysis.

SUMMARY:

A single-lead ECG acquired using electrodes attached to a smartphone can be processed to calculate the serum potassium in patients undergoing hemodialysis remotely.

KEYWORDS:

Electrocardiogram; End-Stage Renal Disease; Hemodialysis; Hyperkalemia; Potassium

[Indexed for MEDLINE]
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