Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2021 May 24;11(1):10817.
doi: 10.1038/s41598-021-89199-z.

Measurement of the QT interval using the Apple Watch

Affiliations
Comparative Study

Measurement of the QT interval using the Apple Watch

Carmen Anna Maria Spaccarotella et al. Sci Rep. .

Abstract

The inherited and acquired long QT is a risk marker for potential serious cardiac arrhythmias and sudden cardiac death. Smartwatches are becoming more popular and are increasingly used for monitoring human health. The present study aimed to assess the feasibility and reliability of evaluating the QT interval in lead I, lead II, and V2 lead using a commercially available Apple Watch. One hundred nineteen patients admitted to our Cardiology Division were studied. I, II, and V2 leads were obtained after recording a standard 12-lead ECG. Lead I was recorded with the smartwatch on the left wrist and the right index finger on the crown. Lead II was obtained with the smartwatch on the left lower abdomen and the right index finger on the crown. The V2 lead was recorded with the smartwatch in the fourth intercostal space left parasternal with the right index finger on the crown. There was agreement among the QT intervals of I, II, and V2 leads and the QT mean using the smartwatch and the standard ECG with Spearman's correlations of 0.886; 0.881; 0.793; and 0.914 (p < 0.001), respectively. The reliability of the QTc measurements between standard and smartwatch ECG was also demonstrated with a Bland-Altman analysis using different formulas. These data show that a smartwatch can feasibly and reliably assess QT interval. These results could have an important clinical impact when frequent QT interval monitoring is required.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Method used to collect lead I, lead II, and the V2 lead with the smartwatch. Lead I was recorded with the smartwatch on the left wrist and the right index finger on the crown (A). Lead II was obtained with the smartwatch on the left lower abdomen and the right index finger on the crown (B). Chest lead V2 was recorded with smartwatch in the fourth intercostal space left parasternal with the right index finger on the crown (C).
Figure 2
Figure 2
Regression analysis: correlation of mean QT-a (ms) and mean QT-e (ms). Scatterplot and fitted line showing the linear association between the QT mean interval (measured as an average of lead I, lead II, the V2 lead) performed using a smartwatch (QT-a) and standard (QT-e) ECG.
Figure 3
Figure 3
Comparison of QT measured with the standard ECG and the smartwatch ECG. Bland–Altman plot indicating the level of agreement between the smartwatch ECG and the standard 12-lead ECG measurement of the QT (ms) interval in lead I (A), lead II (B), and the V2 lead (C). The solid red line represents the bias and dashed red lines the upper and lower limit of agreement (LOA).
Figure 4
Figure 4
Comparison of QTc mean using Bazett’s, Friedericia’s, and Framingham’s formulas between standard and smartwatch ECG. Bland–Altman plot indicating the level of agreement between the smartwatch ECG and standard 12-lead ECG measurement of QTc (ms) using Bazett’s formula (three panels on the left: (AC)); Friedericia’s formula (three panels in the center: (DF)); and Framingham’s formula (three panels on the right: (GI)), respectively, from the top to the bottom: lead I, lead II, and the V2 lead. The solid red line represents the bias and dashed red lines the upper and lower LOA.

References

    1. Moss AJ, Schwartz PJ, Crampton RS, Tzivoni D, Locati EH, MacCluer J, Hall WJ, Weitkamp L, Vincent GM, Garcon A. The long QT syndrome: Prospective longitudinal study of 328 families. Circulation. 1991;84:1136–1144. doi: 10.1161/01.CIR.84.3.1136. - DOI - PubMed
    1. Curran ME, Splawski I, Timothy KW, Vincen GM, Green ED, Keating MT. A molecular basis for cardiac arrhythmia: HERG mutations cause long QT syndrome. Cell. 1995;80:795–803. doi: 10.1016/0092-8674(95)90358-5. - DOI - PubMed
    1. Wang Q, Shen J, Splawski I, Atkinson D, Li Z, Robinson JL, Moss AJ, Towbin JA, Keating MT. SCN5A mutations associated with an inherited cardiac arrhythmia, long QT syndrome. Cell. 1995;80:805–811. doi: 10.1016/0092-8674(95)90359-3. - DOI - PubMed
    1. Song Y, Liu P, Shi XL, Chu YL, Zhang J, Xia J, Gao XZ, Qu T, Wang MY. SARS-CoV-2 induced diarrhea as onset symptom in patient with COVID-19. Gut. 2020;69:1143. doi: 10.1136/gutjnl-2020-320891. - DOI - PubMed
    1. Woosley, R. L., Heise, C. W. & Romero, K. A. QTdrugs List (accessed 20 January 2021); https://www.crediblemeds.org/index.php/drugsearch.

Publication types

LinkOut - more resources