Ramos J P, Carvalho P, Paiva R P, Henriques J
Department of Informatics Engineering, University of Coimbra, Polo-II, Coimbra, Portugal.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6013-6. doi: 10.1109/IEMBS.2011.6091486.
Cardiac auscultation has proven to be an excellent diagnostic tool. Heart sound processing algorithms are not completely robust in the presence of noise, requiring clean segments of heart sounds to extract reliable diagnostic features. This paper presents a new approach to detect transient noises mixed with heart sound. The algorithm explores a single channel source separation algorithm and evaluates the non-stationary separated signals. It has the potential to be applied in real-time. Using a database of heart sounds acquired in real-life scenario, the method showed a sensitivity and a specificity of 93.6% and 92.3%, respectively.
心脏听诊已被证明是一种出色的诊断工具。在心音存在噪声的情况下,心音处理算法并不完全稳健,需要干净的心音片段来提取可靠的诊断特征。本文提出了一种检测与心音混合的瞬态噪声的新方法。该算法探索了一种单通道源分离算法,并对非平稳分离信号进行评估。它具有实时应用的潜力。使用在实际场景中采集的心音数据库,该方法的灵敏度和特异性分别为93.6%和92.3%。