NON-INVASIVE DETECTION OF HYPERKALEMIA WITH A SMARTPHONE ELECTROCARDIOGRAM AND ARTIFICIAL INTELLIGENCE
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Hyperkalaemia detection via wearable ECG is feasible but has high false-positive rates.
“Hyperkalaemia detection via wearable ECG is feasible but has high false-positive rates”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [83]
In a study of hyperkalaemia detection, the sensitivity by duration of hyperkalaemia was 94% and the specificity was 74%.
“The sensitivity by duration of hyperkalaemia was 94% and the specificity was 74%, suggesting that this AI algorithm is a viable and non-invasive option for the screening of hyperkalaemia at home83.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [83]
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- Authors
- Galloway, C. D., Valys, A. V., Petterson, F. L., Gundotra, V. P., Treiman, D. L., Albert, D. E., Dillon, J. J., Attia, Z. I., & Friedman, P. A.
- Affiliations
- Mayo Clinic (US)
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 71
- Issue
- 11
- Pages
- A272
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2792902933
- Cited by
- 17
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 8 · 2021: 4 · 2019: 3
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Potassium and Related Disorders
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Keywords
- hyperkalemia, non-invasive detection, artificial intelligence, electrocardiographic changes, arrhythmia risk, congestive heart failure, chronic kidney disease, diabetes mellitus
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