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Identification of aortic stenosis and mitral regurgitation by heart sound analysis

机译:通过心音分析识别主动脉瓣狭窄和二尖瓣反流

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Heart sound recording and analysis have the potential to provide objective results to assist clinicians with auscultation. A method is proposed for distinguishing the systolic murmurs arising from aortic stenosis and mitral regurgitation. The problems encountered include accounting for background noise due to breathing and other sources, and dealing with the beat to beat variation in the loudness of the murmur. The approach taken is to establish that a murmur is present and detectable within the noise, and then to analyse the recordings using a frequency spectrum analysis and a bank of filters envelope analysis. For the identification of AS and MR the frequency content of S1 and S2 is considered. The results from the bank of filters show that for aortic stenosis the ratio of energy in the frequency band centred on 10 Hz to the energy in the frequency band centred on 50 Hz is greater for S2 than for S1. No such relationship has been found for mitral regurgitation.
机译:心音记录和分析有可能提供客观结果,以协助临床医生进行听诊。提出了一种区分主动脉瓣狭窄和二尖瓣关闭不全引起的收缩期杂音的方法。遇到的问题包括解决由于呼吸和其他来源引起的背景噪音,以及应对节拍之间的杂音响度变化。采取的方法是确定杂音中是否存在杂音并可以检测到杂音,然后使用频谱分析和一组滤波器包络分析来分析记录。为了识别AS和MR,需要考虑S1和S2的频率含量。滤波器组的结果表明,对于主动脉狭窄,以S2为中心的以10 Hz为中心的频带能量与以50 Hz为中心的频带的能量之比大于S1。尚未发现二尖瓣关闭不全的这种关系。

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