Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.
Who will be affected?
Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central
Authors: No access to the submission form or your user account.
Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM.
Editors: No access to your user account to assign reviewers or make decisions.
Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM.
Chokshi S, Tologonova G, Calixte R, Yadav V, Razvi N, Lazar J, Kachnowski S
Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study
A comparison of QT and QTc assessment by an Apple Watch and the AccurBeat Platform with QT and QTc assessment by a 12‑lead Electrocardiogram with manual annotation: Prospective Observational Study
Sara Chokshi;
Gulzhan Tologonova;
Rose Calixte;
Vandana Yadav;
Naveed Razvi;
Jason Lazar;
Stan Kachnowski
ABSTRACT
Background:
Abnormal prolongation or shortening of the QT interval is associated with increased risk for ventricular arrhythmias and sudden cardiac death. For continuous monitoring, widespread use, and prevention of cardiac events, advanced wearable technologies are emerging as promising surrogates for conventional 12‑lead ECG QT assessment. Previous studies have shown a good agreement between QT/QTc measured on a Smartwatch ECG and a 12 lead ECG, but the clinical accuracy of computerized algorithms for QT and QTc measurement from smartwatch ECGs is unclear.
Objective:
The prospective observational study compared the smartwatch recorded QT and QTc assessed using AccurKardia’s AccurBeat Platform (the “Platform”) with the conventional 12‑lead ECG annotated manually by a cardiologist.
Methods:
ECGs were collected from healthy volunteers (without any known cardiovascular disease) age > 22 years. Agreement between QT and QTc measurements (taken on 12-lead ECGs and annotated manually and taken on smartwatch and assessed by the Platform) were assessed using the Bland-Altman method.
Results:
50 participants (34 women, mean age 46 ± 1 years) were included in the study. More than 94% of the average QT measurements between the automated solution and QT from 12-Lead ECG lay within the 95% confidence interval of the average difference between the two measurements.
Conclusions:
QT and QTc intervals obtained by smartwatch coupled with the Platform’s assessment are comparable to those from a 12 lead ECG. Accordingly, with further refinements, remote monitoring using this technology holds great promise for the identification of QT prolongation.
Citation
Please cite as:
Chokshi S, Tologonova G, Calixte R, Yadav V, Razvi N, Lazar J, Kachnowski S
Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study