计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 210900135-6.doi: 10.11896/jsjkx.210900135
张欣1, 孙静1, 杨宏波2, 潘家华2, 郭涛2, 王威廉1
ZHANG Xin1, SUN Jing1, YANG Hong-bo2, PAN Jia-hua2, GUO Tao2, WANG Wei-lian1
摘要： 为了更有效地对心音按成分进行分割,实验采用一种基于Teager-Kaise能量算子(Teager-Kaise Energy Operator,TKEO)以及多包络特征融合的心音分割算法。首先,利用多尺度小波软阈值对PCG信号进行去噪,然后进行TKEO运算,由于TKEO对瞬时能量变化极其敏感,可以有效提取包络峰值,得到TKEO信号。其次,对TKEO信号提取归一化香农能量包络和维奥拉积分包络,计算出两者包络与TKEO信号之间的皮尔逊相关系数,根据相关关系进行融合。然后,用区间搜索法对包络进行峰值搜索,并且对搜索结果的方差进行比较。最后,根据S1和S2的最大持续时间消除伪峰。用PhysioNet-2016数据集对所提算法进行测试,实验结果显示平均精确度为0.922,证实了该算法能较有效地对心音信号进行分割,为临床环境下采集的心音信号的特征提取与分析提供了新方法。
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