Abstract
Abstract Background and Aim Pediatric arrhythmias require accurate electrocardiogram (ECG) assessment for diagnosis and management. Mobile ECG devices, such as smart watch based and hand-held devices, offer potential advantages in terms of portability and accessibility. This study aimed to compare the efficancy and diagnostic accuracy of ECG tracings obtained using a smart watch and a hand-held device with standard 12-lead ECG tracings in healthy children. Methods ECG data were acquired from healthy pediatric subjects (n=30) aged 4 to 18 years using the smart watch, hand-held device, and standard 12-lead ECG. Single leads were acquired sequentially. The time required for ECG acquisition was recorded for each device. Subsequently, ECG leads were analyzed for voltage, duration, and morphology of waves and intervals, as well as ST segments. Qualitative assessment of leads included morphology comparison of waves and complexes to standard 12-lead ECG and using a physician based quality rating scale. Assessment was performed by two blinded pediatric electrophysiologists. Results We found significant differences in the time required to acquire ECG tracings between the smart watch, standard 12-lead ECG, and hand-held device, with the smart watch being notably slower (median 15 min, 4 min, 1 min, respectively). ECG leads obtained with the smart watch and hand-held device demonstrated comparability to standard 12-lead ECG tracings in terms of quantitative key parameters, including voltage (mV) and duration (ms) of waves and intervals. Qualitative assessment revealed good correlation of the hand-held device with standard 12-lead ECG, while the smart watch performed less well. Conclusions This study suggests that mobile ECG devices offer a diagnostic accuracy comparable to that of standard 12-lead ECGs in healthy children. While the smart watch may be slower in ECG acquisition, acquisition of all 12 standard ECG leads is feasible in this population. The potential of both included mobile devices for pediatric usage in specific clinical scenarios, such as remote monitoring or emergencies, is promising.Graphical Abstract
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