Key result
A novel QRS detection algorithm using linear prediction resulted in fewer false positives and false negatives compared with the Pan and Tompkins method when tested on the MIT-BIH database.
Why the study?
Does a linear prediction algorithm improve QRS detection compared to the Pan and Tompkins method in ECG signals?
Population
ECG signals from the universal MIT-BIH arrhythmia database
Comparison
QRS detection algorithm using linear prediction vs Pan and Tompkins QRS detection method
Design
Other
Authors
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Does not support clinical adoption of the algorithm; leaves open prospective validation in real-world ECG datasets.
Does a linear prediction algorithm improve QRS detection compared to the Pan and Tompkins method in ECG signals?
A novel linear prediction algorithm improves QRS complex detection accuracy with fewer false positives and negatives compared to standard methods.
Slimane et al. (2006) studied Arrhythmia / ECG signal analysis. QRS detection algorithm using linear prediction vs. Pan and Tompkins QRS detection method was evaluated on QRS detection performance (false positives and false negatives). A novel QRS detection algorithm using linear prediction resulted in fewer false positives and false negatives compared with the Pan and Tompkins method when tested on the MIT-BIH database.
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