Title :
Quantitative Measurement of Split of the Second Heart Sound (S2)
Author :
Barma, Shovan ; Bo-Wei Chen ; Ka Lok Man ; Jhing-Fa Wang
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
This study proposes a quantitative measurement of split of the second heart sound (S2) based on nonstationary signal decomposition to deal with overlaps and energy modeling of the subcomponents of S2. The second heart sound includes aortic (A2) and pulmonic (P2) closure sounds. However, the split detection is obscured due to A2-P2 overlap and low energy of P2. To identify such split, HVD method is used to decompose the S2 into a number of components while preserving the phase information. Further, A2s and P2s are localized using smoothed pseudo Wigner-Ville distribution followed by reassignment method. Finally, the split is calculated by taking the differences between the means of time indices of A2s and P2s. Experiments on total 33 clips of S2 signals are performed for evaluation of the method. The mean ± standard deviation of the split is 34.7 ± 4.6 ms. The method measures the split efficiently, even when A2-P2 overlap is ≤ 20 ms and the normalized peak temporal ratio of P2 to A2 is low (≥ 0.22). This proposed method thus, demonstrates its robustness by defining split detectability (SDT), the split detection aptness through detecting P2s, by measuring up to 96 percent. Such findings reveal the effectiveness of the method as competent against the other baselines, especially for A2-P2 overlaps and low energy P2.
Keywords :
Wigner distribution; bioacoustics; biomedical measurement; cardiology; medical signal processing; A2-P2 overlap; HVD method; S2 subcomponents; aortic (A2) closure sounds; mean standard deviation; nonstationary signal decomposition; normalized peak temporal ratio; phase information; pulmonic (P2) closure sounds; quantitative measurement; smoothed pseudo Wigner-Ville distribution; split detectability; split detection; split detection aptness; split-of-the-second heart sound; Bioinformatics; Computational biology; Heart; IEEE transactions; Signal resolution; Time-frequency analysis; Vibrations; A2 and P2; Hilbert vibration decomposition (HVD); Split; empirical mode decomposition (EMD); second heart sound (S2);
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2014.2351804