Taplidou Styliani A, Hadjileontiadis Leontios J
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:4502-5. doi: 10.1109/IEMBS.2006.259619.
The aim of this study was to reveal and analyze the nonlinear characteristics of heart sounds, reflected in the quadrature phase coupling of the contained frequencies, as they evolve over time. To achieve this, the continuous wavelet transform was combined with third-order statistics/spectra in order to analyze their non Gaussian character, taking into account their non-stationarity. Heart sounds from patients with several pathologies that exhibit murmurs were drawn from a heart sound database and analyzed in the time-bi-frequency domain. The analysis results justified the efficient performance of this combinatory approach to reveal and quantify the evolution of heart murmurs nonlinearities with time.
本研究的目的是揭示和分析心音的非线性特征，这些特征通过所含频率的正交相位耦合反映出来，并随着时间的推移而演变。为实现这一目标，将连续小波变换与三阶统计量/谱相结合，以分析其非高斯特性，同时考虑到它们的非平稳性。从心音数据库中提取患有多种表现出杂音的病理疾病患者的心音，并在时间-双频域进行分析。分析结果证明了这种组合方法在揭示和量化心脏杂音非线性随时间演变方面的高效性能。
