QRS detection using S-Transform and Shannon energy

Abstract

This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Transform to isolate the QRS complexes in the time-frequency domain. Shannon energy of each obtained local spectrum is then computed in order to localize the R waves in the time domain. Significant performance enhancement is confirmed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.84%, a positive predictivity of 99.91% and an error rate of 0.25%. Furthermore, to be more convincing, the authors illustrated the detection parameters in the case of certain ECG segments with complicated patterns.

QRS Detection Based on an Advanced Multilevel Algorithm

“…The average error of the proposed method in these signals is 0.53%, which is lesser that the comparative methods. The error of the method presented in [19] is closer to the result of the proposed approach. Whereas the Advanced Multilevel Algorithm presents a simple algorithm to deal with the QRS extraction task, the implementation of this algorithm in an embedded system is simple, unlike the method proposed by [19] which is complex.…”

“…The total beats is the total number of beats presented in the original signal. The positive predictivity, the sensitivity and the error rate are defined as follows: Table 1 presents the statistical results of the proposed method compared to some theoretical methods recently published [1,19,20]. This results are related to the detection of the QRS regions over these methods and the proposed one.…”

“…Zidelmal et al(2014) [19] 2273 0 0 100,00 100,00 0,00 Z. Zidelmal et al(2012) [20] 2273 0 0 100,00 100,00 0,00 The proposed method 2187 2187 0 0 100,00 100,00 0,00 Z.…”

“…Zidelmal et al(2012) [20] 2273 0 0 100,00 100,00 0,00 The proposed method 2187 2187 0 0 100,00 100,00 0,00 Z. Zidelmal et al(2014) [19] 2185 0 2 99,91 100,00 0,09 Z. Zidelmal et al(2012) [20] 2185 0 2 99,91 100,00 0,09…”

“…Zidelmal et al(2014) [19] 2084 0 0 100,00 100,00 0,00 Z. Zidelmal et al(2012) [20] 2084 0 0 100,00 100,00 0,00 The qualitative and the quantitative results show that, spite of the simplicity of this method, the advanced multilevel algorithm presents a very important solution for the extraction of the QRS complex.…”