Heart Sounds Interference Cancellation in Lung Sounds
Heart Sounds Interference Cancellation in Lung Sounds
复制标题
心音肺音干扰消除
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
T. Aljama
中科院分区：
文献类型：
--
作者：
S. Charleston;L. F. Dominguez;R. González;T. Aljama
已经进行了几次尝试来实现肺音的定量分析，主要用于两个目的：a）理解它们的起源，以及B）洞察它们随病理的变化以用于医学诊断。早期的研究涉及在胸腔表面上的几个位置或在胸外气管处用一个到四个麦克风收集声学信息，但采用非同时采集。然而，同时采集点的增量已被建议;例如，由于通过计算机插值的多通道采集声学可视化已经出现，有助于分析肺音（LS）的起源、分布和与通气的关系。然而，肺音的定量分析需要在提取相关特征之前消除干扰信号。所采集的信号不仅包含LS，而且还包含心音（HS）以及其他干扰。HS是不可避免的，有时代表严重的干扰。本文提出了一种HS消除方案，作为以前的努力的扩展，使用经验模式分解（EMD）和时间弯曲与线性自适应FIR滤波的组合。仿真信号被用来评估所提出的方案在已知和受控场景下的性能
Several attempts have been made to achieve a quantitative analysis of lung sounds mainly for two purposes: a) an understanding of their genesis, and b) an insight of their changes with pathologies for medical diagnosis. Early studies involved the collection of acoustic information at several positions on the thoracic surface or at the extra-thoracic trachea with one up to four microphones, but with a non-simultaneous acquisition. However, an increment for simultaneous acquisition points has been suggested; for example, as a consequence of multichannel acquisition acoustic visualization through computerized interpolation has emerged being helpful to analyze lung sounds (LS) origin, distribution, and relation to ventilation. Nevertheless, quantitative analysis of lung sounds requires eliminating interference signals prior to the extraction of relevant features. The acquired signals not only contain LS but also heart sounds (HS) among other interferences. HS are unavoidable and sometimes represent severe disturbing interference. This paper proposes a HS cancellation scheme as an extension of a previous effort using the Empirical Mode Decomposition (EMD) and a combination of time warping with linear adaptive FIR filtering. Simulated signals are used to evaluate the performance of the proposed scheme under known and controlled scenarios