Denoising of Heart Sound Signal for Myocardial Infarction Detection Based on Adaptive Filtering

2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) Pub Date : 2023-06-02 DOI:10.1109/ECBIOS57802.2023.10218715

Ira Puspasari, T. Mengko, A. W. Setiawan, T. Adiono, M. Pramudyo

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Abstract

Processing heart sound signals, especially myocardial infarction (MI) signals, is crucial to identify essential features. The environment strongly influences the results of recording heart sound using a stethoscope on a patient in the hospital, the patient's condition, and other unpredictable noises. A crucial processing step of this signal is filtering. Noise removal in myocardial infarction signals has always been challenging in biomedical signal processing. We compare CEEMDAN and hard thresholding filtering methods. The signal result with the lowest MSE becomes the reference signal in LMSAF. The average MSE value in myocardial infarction signal noise reduction using LMSAF is 0.10, with an average time processing is 1.91 s. The normal signal temporal features on the systolic phase, namely T11: 0.81 s, and on the diastolic phase, namely T12: 0.33 s. The time duration of coronary artery disease (CAD) signal T11: 1.00 s, and T12: 0.46 s, CAD ST-elevation myocardial infarction (CAD STEMI) T-11: 0.99 s, and T12: 0.49 s, CAD non-ST-elevation myocardial infarction (CAD NSTEMI) T-11: 0.98 s, and T12: 0.51 s.

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基于自适应滤波的心音信号去噪方法在心肌梗死检测中的应用

处理心音信号，特别是心肌梗死(MI)信号，是识别基本特征的关键。在医院用听诊器对病人进行心音记录的结果、病人的状况和其他不可预测的噪音都受到环境的强烈影响。该信号的关键处理步骤是滤波。心肌梗死信号的去噪一直是生物医学信号处理中的难题。我们比较了CEEMDAN和硬阈值滤波方法。MSE最小的信号结果成为LMSAF中的参考信号。LMSAF对心肌梗死信号降噪的平均MSE值为0.10，平均处理时间为1.91 s。正常信号在收缩期即T11: 0.81 s，在舒张期即T12: 0.33 s。冠心病(CAD)信号持续时间T11: 1.00 s, T12: 0.46 s，冠心病st段抬高型心肌梗死(CAD STEMI) T-11: 0.99 s, T12: 0.49 s，冠心病非st段抬高型心肌梗死(CAD NSTEMI) T-11: 0.98 s, T12: 0.51 s。

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2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)

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