利用毯子分形维数识别心电基本音

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI:10.1109/ESGCO.2014.6847550

M. Paskas, A. Gavrovska, N. Reljin

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引用次数: 8

摘要

本文介绍了一种新的S1与S2心音分类方法。在不使用同步心电图的情况下，首次将毛毯分形维数用于识别心音候选信号S1或S2。即使不计算收缩期和舒张期持续时间以进一步改善结果，在不事先了解患者健康问题的情况下，获得的准确性也超过80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of fundamental heart sounds from PCG using blanket fractal dimension

Paper introduces a new approach for S1 versus S2 heart sound classification. The blanket fractal dimension is used for the first time for recognizing a heart sound candidate as S1 or S2 without the use of synchronous electrocardiogram. Even though the systole and diastole duration is not calculated for further improvement of the results, the obtained accuracy is more than 80% without any prior knowledge of patients' health issues.

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来源期刊

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)

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