Reduction of heart sound interference from lung sound signals using empirical mode decomposition technique
Reduction of heart sound interference from lung sound signals using empirical mode decomposition technique
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DOI：
10.3109/03091902.2011.595529
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发表时间：
2011-08-01
影响因子：
--
通讯作者：
Saha, Goutam
中科院分区：
文献类型：
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作者：
Mondal, Ashok;Bhattacharya, P. S.;Saha, Goutam
在记录来自受试者胸壁的肺音（LS）信号期间，总是存在心音（HS）信号干扰。这模糊了肺部声音信号的特征，并造成对肺部病理状态（如果有的话）的混淆。本文提出了一种基于经验模态分解（EMD）技术的新方法，用于减少所需肺音信号中的不良心音干扰。在此，混合信号被分成几个分量。其中一些成分包含较大比例的干扰信号，如心音、环境噪音等，并被滤除。对模拟和实时记录的心音和肺音混合信号进行了实验。发现所提出的方法在时域、频域和时频域表示方面以及肺科医生进行的听力测试方面均具有优越性。
During the recording time of lung sound (LS) signals from the chest wall of a subject, there is always heart sound (HS) signal interfering with it. This obscures the features of lung sound signals and creates confusion on pathological states, if any, of the lungs. A novel method based on empirical mode decomposition (EMD) technique is proposed in this paper for reducing the undesired heart sound interference from the desired lung sound signals. In this, the mixed signal is split into several components. Some of these components contain larger proportions of interfering signals like heart sound, environmental noise etc. and are filtered out. Experiments have been conducted on simulated and real-time recorded mixed signals of heart sound and lung sound. The proposed method is found to be superior in terms of time domain, frequency domain, and time-frequency domain representations and also in listening test performed by pulmonologist.