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Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

This study demonstrates that the Fibricheck standalone algorithm added to 2 popular PPG wrist devices (Biostrap wristband and Fitbit smartwatch) yields a high sensitivity and specificity for detecting AF, with an acceptable unclassifiable or bad quality rate, in a semicontrolled environment before and after a cardioversion procedure. Sensitivity, specificity, and bad quality or unclassifiable rate of this study are comparable to those in previous studies [17].

Jasper L Selder, Henryk Jan Te Kolste, Jos Twisk, Marlies Schijven, Willem Gielen, Cornelis P Allaart

J Med Internet Res 2023;25:e44642

Handheld Ultrasound as a Novel Predictive Tool in Atrial Fibrillation: Prediction of Outcomes Following Electrical Cardioversion

Handheld Ultrasound as a Novel Predictive Tool in Atrial Fibrillation: Prediction of Outcomes Following Electrical Cardioversion

Direct-current electrical cardioversion (CV) to restore sinus rhythm (SR) may be performed to improve symptoms, quality of life, and left ventricular function [3]. However, CV may be immediately unsuccessful in up to 20% of cases, and AF recurs in 60-80% of patients after one year [4]. Reliable prediction of SR maintenance after CV is important in order to weigh the benefits versus potential risks of CV including arrhythmias and thromboembolic complications.

Devin Kehl, Raymond Zimmer, Madhuri Sudan, Ilan Kedan

JMIR Cardio 2018;2(1):e7