Key result
Novel embedded QRS detection algorithm achieves ~99.9% sensitivity in double-blinded ePatch ECG validation.
Why the study?
Timely diagnosis of arrhythmias via ambulatory long-term ECG recordings is crucial, and automatic real-time analysis in novel patch-type ECG recorders is needed.
Comparison
Novel automatic heartbeat detection algorithm embedded in ePatch heart monitor
Design
Double-blinded validation study with algorithm design and offline validation
Authors
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May facilitate earlier arrhythmia detection in ambulatory ECG monitoring; leaves open prospective outcome trials before clinical adoption.
A novel embedded algorithm for real-time QRS complex detection in a patch-type ECG recorder demonstrated high clinical performance across multiple databases, potentially improving early diagnosis of arrhythmias.
Saadi et al. (2015) studied Arrhythmias (n=189). Novel automatic real-time embedded QRS complex detection algorithm vs. Reference manual annotations was evaluated on QRS detection sensitivity (Se) and positive predictivity (P+). The novel embedded QRS complex detection algorithm achieved a sensitivity of 99.91% and positive predictivity of 99.79% in a double-blinded validation on ePatch ECG recordings.
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