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Updated: Jun 25, 2025
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly
Kathryn E Mangold1, Rickey E Carter2, Konstantinos C Siontis1
1Department of Cardiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905, USA.
Aims:
Mobile devices such as smartphones and watches can now record single-lead electrocardiograms (ECGs), making wearables a potential screening tool for cardiac and wellness monitoring outside of healthcare settings. Because friends and family often share their smart phones and devices, confirmation that a sample is from a given patient is important before it is added to the electronic health record.
Methods And Results:
We sought to determine whether the application of Siamese neural network would permit the diagnostic ECG sample to serve as both a medical test and biometric identifier. When using similarity scores to discriminate whether a pair of ECGs came from the same patient or different patients, inputs of single-lead and 12-lead medians produced an area under the curve of 0.94 and 0.97, respectively.
Conclusion:
The similar performance of the single-lead and 12-lead configurations underscores the potential use of mobile devices to monitor cardiac health.
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