Population
ECG signals from the PhysioNet QT database
Comparison
Stepwise detection algorithm using voltage… vs Manual markings by cardiologists and other…
Design
Other
Key result
The proposed algorithm for QRS complex detection yielded standard deviations of differences from manual cardiologist annotations that were within accepted tolerances and outperformed other algorithms.
Authors
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May aid automated ECG interpretation accuracy; leaves open prospective clinical validation before adoption.
The proposed stepwise algorithm accurately detects QRS complex boundaries in ECG signals, outperforming existing algorithms.
Kim et al. (2016) studied ECG signal analysis. Proposed algorithm for QRS complex detection vs. Manual marking by cardiologists and other algorithms was evaluated on Mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm. The proposed algorithm for QRS complex detection yielded standard deviations of differences from manual cardiologist annotations that were within accepted tolerances and outperformed other algorithms.
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