Key result
A novel multi-lead fusion approach for 12-lead ECG signals achieved 99.87% sensitivity and 99.96% positive predictive accuracy on the INCART database, and 100% and 99.13% on the CSE database.
A novel multi-lead fusion algorithm demonstrates exceptionally high sensitivity and positive predictive accuracy for QRS complex detection across standard ECG databases.
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May enhance QRS detection accuracy in ECG analysis; leaves open clinical validation before routine adoption.
Chauhan et al. (2023) studied ECG signal analysis. Multi-lead fusion approach for QRS complex detection was evaluated on Sensitivity and positive predictive accuracy for QRS detection. A novel multi-lead fusion approach for 12-lead ECG signals achieved 99.87% sensitivity and 99.96% positive predictive accuracy on the INCART database, and 100% and 99.13% on the CSE database.
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