Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, 116024, China.
Comput Biol Med. 2013 Jul;43(6):607-12. doi: 10.1016/j.compbiomed.2013.03.002. Epub 2013 Mar 17.
Noise often appears in parts of heart sound recordings, which may be much longer than those necessary for subsequent automated analysis. Thus, human intervention is needed to select the heart sound signal with the best quality or the least noise. This paper presents an automatic scheme for optimum sequence selection to avoid such human intervention. A quality index, which is based on finding that sequences with less random noise contamination have a greater degree of periodicity, is defined on the basis of the cyclostationary property of heart beat events. The quality score indicates the overall quality of a sequence. No manual intervention is needed in the process of subsequence selection, thereby making this scheme useful in automatic analysis of heart sound signals.
噪声通常出现在心音记录的某些部分，这些部分可能比后续自动分析所需的部分长得多。因此，需要人工干预来选择质量最好或噪声最小的心音信号。本文提出了一种自动最优序列选择方案，以避免这种人工干预。质量指数是基于心拍事件的循环平稳特性，通过发现受随机噪声污染较小的序列具有更大的周期性程度来定义的。质量得分表示序列的整体质量。在子序列选择过程中不需要人工干预，因此该方案可用于心音信号的自动分析。
