利用重分配平滑伪魏格纳-维尔分布检测第二心音的瓣膜分裂。
Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner-Ville distribution.
机构信息
University of Tlemcen, Faculty of technology, BP119, Tlemcen, Algeria.
出版信息
Biomed Eng Online. 2013 Apr 30;12:37. doi: 10.1186/1475-925X-12-37.
BACKGROUND
In this paper, we developed a novel algorithm to detect the valvular split between the aortic and pulmonary components in the second heart sound which is a valuable medical information.
METHODS
The algorithm is based on the Reassigned smoothed pseudo Wigner-Ville distribution which is a modified time-frequency distribution of the Wigner-Ville distribution. A preprocessing amplitude recovery procedure is carried out on the analysed heart sound to improve the readability of the time-frequency representation. The simulated S2 heart sounds were generated by an overlapping frequency modulated chirp-based model at different valvular split durations.
RESULTS
Simulated and real heart sounds are processed to highlight the performance of the proposed approach. The algorithm is also validated on real heart sounds of the LGB-IRCM (Laboratoire de Génie biomédical-Institut de recherches cliniques de Montréal) cardiac valve database. The A2-P2 valvular split is accurately detected by processing the obtained RSPWVD representations for both simulated and real data.
背景
在本文中，我们开发了一种新的算法来检测第二心音中主动脉和肺动脉瓣之间的瓣裂，这是有价值的医学信息。
方法
该算法基于重分配平滑伪魏格纳-维尔分布，这是魏格纳-维尔分布的一种改进的时频分布。对分析的心音进行预处理幅度恢复过程，以提高时频表示的可读性。模拟的 S2 心音是通过在不同的瓣裂持续时间上的重叠调频啁啾模型生成的。
结果
对模拟和真实心音进行处理，以突出所提出方法的性能。该算法还在 LGB-IRCM（蒙特利尔临床研究所生物医学工程实验室）心脏瓣膜数据库的真实心音上进行了验证。通过处理模拟和真实数据获得的 RSPWVD 表示，准确地检测到了 A2-P2 瓣裂。
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