Key result
Real-time RDWT-based QRS detector achieves ~99% detection rate on the MIT-BIH database.
A real-time QRS detection algorithm based on Redundant Discrete Wavelet Transform achieved >99.32% detection accuracy on the MIT-BIH Arrhythmia Database.
Should not yet alter ECG monitoring practice; extends wavelet-based detection methods for further validation.
The electrocardiogram (ECG) analysis provide several information about the current state of the heart. The QRS complex detection is one of the fundamental issue in the electrocardiographic signal analysis. This paper presents a real time QRS complex detector based on Redundant Discrete Wavelet Transform (RDWT). The algorithm use both scales and wavelet coefficients, and the wavelet coefficient energy for detection. The algorithm was evaluated with the MIT-BIH Arrhythmia Database, achieving an detection rate of QRS complexes above 99.32 % and for the P and T waves can also be detected, based on QRS positions and wavelet coefficients.
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Júnior et al. (2016) studied Arrhythmia. Real time QRS complex detector based on Redundant Discrete Wavelet Transform (RDWT) was evaluated on QRS complex detection rate. A real-time QRS complex detector based on Redundant Discrete Wavelet Transform achieved a detection rate above 99.32% when evaluated on the MIT-BIH Arrhythmia Database.
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