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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
From Wrist to Precision: Enhanced Atrial Flutter Detection with Modified Smartwatch Single-Lead Electrocardiogram
Yuval Avidan1, Amir Aker1,2, Razi Khoury1
1Department of Cardiology, Lady Davis Carmel Medical Center, Haifa, Israel.
Smartwatch atrial flutter detection is inaccurate with standard lead-I ECG. Modifying lead-II positioning significantly improves atrial flutter diagnosis accuracy, aiding clinical decisions.
Area of Science:
- Cardiology
- Medical Devices
- Electrocardiography
Background:
- Smartwatches like the Apple Watch (AW) are used for detecting atrial fibrillation (AF).
- Traditional single-lead ECG configurations may misdiagnose atrial flutter (AFL).
- Modified smartwatch lead positioning may enhance AFL diagnostic accuracy.
Purpose of the Study:
- To evaluate the diagnostic accuracy of standard lead-I (AW-I) versus modified lead-II (AW-II) smartwatch ECG configurations for atrial flutter (AFL).
- To assess the impact of device positioning on AFL detection by physicians across different specialties.
Main Methods:
- Obtained standard AW-I and modified AW-II ECG recordings from 75 patients (25 AFL, 25 AF, 25 SR).
- 20 physicians from 4 specialties independently analyzed 100 tracings (75 AW-I, 25 AW-II).
- Assessed diagnostic accuracy for AFL detection using both configurations.
Main Results:
- Physicians had poor AFL detection rates with AW-I (11.6%), frequently misdiagnosing it as AF.
- Diagnostic accuracy for AFL significantly improved with AW-II, exceeding 80% across specialties (P=0.001).
- Variable atrioventricular conduction was linked to correct AFL diagnosis solely via AW-II (OR 1.85, P=0.012).
Conclusions:
- Standard smartwatch lead-I ECG configurations are unreliable for AFL detection and prone to misdiagnosis as AF.
- A simple modification to lead-II positioning substantially enhances smartwatch-based AFL diagnostic accuracy.
- This AW-II modification is valuable for rhythm identification in clinical decision-making, including post-ablation surveillance.
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