Validation of smartwatch electrocardiogram intervals in children compared to standard 12 lead electrocardiograms

Julia Ernstsson1, Birgitta Svensson1,2, Petru Liuba1,2

  • 1Department of Clinical Sciences Lund, Lund University, Lund, Sweden.

PubMed

Insights

Smartwatch electrocardiograms (ECG) show good accuracy for heart rate and intervals in children, but QTc measurements improve with manual input. This technology aids remote monitoring for pediatric cardiac conditions.

Area of Science:

  • Pediatric Cardiology
  • Digital Health Technology
  • Electrocardiography

Background:

  • Smartwatches offer accessible one-lead electrocardiograms (ECG) for arrhythmia detection.
  • Previous studies validated smartwatch ECG accuracy in adults, but not in children.
  • Home-based smartwatch ECG monitoring could enhance pediatric cardiac care, especially for QTc-prolonging medications.

Purpose of the Study:

  • To validate smartwatch-measured ECG intervals against standard 12-lead ECGs in children and adolescents.
  • To assess the accuracy of both automated and manual smartwatch ECG measurements.

Main Methods:

  • Prospective study involving 100 children and adolescents (ages 5-17) at a national pediatric heart center.
  • Simultaneous smartwatch (Withings ScanWatch) and 12-lead ECG recordings were obtained.
  • ECG intervals were analyzed using automated and manual measurements, with intraclass correlation coefficients and Bland-Altman plots.

Main Results:

  • Automated smartwatch ECGs demonstrated excellent agreement for heart rate (ICC 0.97) and good agreement for PR (0.86) and QT (0.8) intervals.
  • Moderate agreement was found for automated QRS duration (0.7) and QTc intervals (0.53).
  • Manual smartwatch measurements significantly improved validity, particularly for PR (0.93), QRS (0.92), QT (0.95), and QTc (0.84) intervals.

Conclusions:

  • Automated smartwatch ECGs are most reliable for heart rate measurement in children.
  • Automated smartwatch QTc interval accuracy is limited but can be improved through manual measurements.
  • Smartwatch ECGs hold potential for pediatric remote monitoring, with manual analysis enhancing reliability.

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