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A robust method for S1/S2 heart sounds detection without ecg reference based on music beat tracking

机译:基于音乐节拍跟踪的S1 / S2心脏声音检测的鲁棒方法

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We present a robust method for the detection of the first and second heart sounds (s1 and s2), without ECG reference, based on a music beat tracking algorithm. An intermediate representation of the input signal is first calculated by using an onset detection function based on complex spectral difference. A music beat tracking algorithm is then used to determine the location of the first heart sound. The beat tracker works in two steps, it first calculates the beat period and then finds the temporal beat alignment. Once the first sound is detected, inverse Gaussian weights are applied to the onset function on the detected positions and the algorithm is run again to find the second heart sound. At the last step s1 and s2 labels are attributed to the detected sounds. The algorithm was evaluated in terms of location accuracy as well as sensitivity and specificity and the results showed good results even in the presence of murmurs or noisy signals.
机译:我们基于音乐节拍跟踪算法呈现用于检测第一和第二心脏声音(S1和S2)的鲁棒方法,而没有ECG参考。 首先通过基于复谱差的开始检测功能首先计算输入信号的中间表示。 然后使用音乐拍跟踪算法来确定第一心声的位置。 节拍跟踪器有两步工作,首先计算节拍期,然后找到时间拍摄对齐。 一旦检测到第一声音,逆高斯权重被应用于检测到的位置上的开始函数,并且再次运行算法以找到第二心声。 在最后步骤S1和S2标签归因于检测到的声音。 在位置精度以及敏感度和特异性方面评估该算法,即使在杂音或嘈杂信号存在下,结果也显示出良好的结果。

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