计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 237-239.doi: 10.11896/j.issn.1002-137X.2017.06.040
李晗,赵海,陆育卉,邵士亮
LI Han, ZHAO Hai, LU Yu-hui and SHAO Shi-liang
摘要： 为了探索脉搏波中蕴含的复杂性及简便快速地检测心房颤动,结合中国传统医学中“房颤脉”的概念,设计了一种基于复杂网络的房颤脉检测方法。将光电容积脉搏波的时间序列按可视图法映射成复杂网络,将平均心率与复杂网络的度分布作为支持向量机的输入,基于高斯径向核函数设计了二分类的支持向量机。针对阵发性房颤患者的实验表明,这种方法可以有效地分辨病人的发病状态和正常状态。
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