Health Technology/clinical-trials

Fitbit ECG Monitoring Trial for Long QT Syndrome Opens: Validating Wearable Technology Against Standard Cardiac Surveillance

247 Health News Editorial

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28 May 2026

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4 min read

·clinical-trials

New UK trial validates Fitbit ECG technology for Long QT Syndrome monitoring, comparing consumer wearable accuracy against standard 12-lead ECG surveillance. Study could transform routine cardiac monitoring for hereditary arrhythmia patients.

Originally reported by ClinicalTrials.gov

References

  1. 1.Queen Mary University of London. (2024). Application of Wearable Devices for Remote QT Interval Monitoring and Symptom Investigation for Patients With Long QT Syndrome. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06887387
  2. 2.Schwartz, P. J., Stramba-Badiale, M., Crotti, L., Pedrazzini, M., Besana, A., Bosi, G., Gabbarini, F., Goj, J., Hu, D., Liang, Q., Rivolta, I., Rosati, E., Schwartz, P. J., & Spazzolini, C. (2009). Prevalence of the congenital long-QT syndrome. Circulation, 120(18), 1761-1767. https://doi.org/10.1161/CIRCULATIONAHA.109.863209
  3. 3.Goldenberg, I., Moss, A. J., Peterson, D. R., McNitt, S., Zareba, W., Andrews, M. L., Robinson, J. L., Locati, E. H., Ackerman, M. J., Benhorin, J., Kaufman, E. S., Napolitano, C., Priori, S. G., Qi, M., Schwartz, P. J., Towbin, J. A., Vincent, G. M., & Zhang, L. (2008). Risk factors for aborted cardiac arrest and sudden cardiac death in children with the congenital long-QT syndrome. Circulation, 117(17), 2184-2191. https://doi.org/10.1161/CIRCULATIONAHA.107.701243
  4. 4.Priori, S. G., Wilde, A. A., Horie, M., Cho, Y., Behr, E. R., Berul, C., Blom, N., Brugada, J., Chiang, C. E., Huikuri, H., Kannankeril, P., Krahn, A., Leenhardt, A., Moss, A., Schwartz, P. J., Shimizu, W., Tomaselli, G., & Tracy, C. (2013). HRS/EHRA/APHRS expert consensus statement on the diagnosis and management of patients with inherited primary arrhythmia syndromes. Heart Rhythm, 10(12), 1932-1963. https://doi.org/10.1016/j.hrthm.2013.05.014
  5. 5.Turakhia, M. P., Desai, M., Hedlin, H., Rajmane, A., Talati, N., Ferris, T., Desai, S., Nag, D., Patel, M., Kowey, P., Rumsfeld, J. S., Russo, A. M., Hills, M. T., Granger, C. B., Mahaffey, K. W., & Perez, M. V. (2019). Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. American Heart Journal, 207, 66-75. https://doi.org/10.1016/j.ahj.2019.02.016
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