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基于云模型的体震信号智能诊断方法

DOI: 10.3969/j.issn.1005-3026.2015.10.002, PP. 1374-1377

Keywords: 体震信号,智能诊断系统,云模型,自动聚类,心率异常

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Abstract:

研究了使用云模型理论智能诊断体震信号中心率异常信息的方法.利用云模型将定性的专家诊断体系与定量的计算机辅助诊断系统相结合,模拟了专家诊断过程.建立了心率异常智能诊断规则云模型,构造了体震信号JJ间期分布曲线图,以此自动校正模型参数,最终建立智能诊断机制.采用实验室搭建的体震信号实时采集系统提取2000组样本作为采样对象,并与传统标准阈值法进行对比,验证了所提方法的可行性.实验结果表明:该方法自动聚类的准确率达到90.2%,高于传统方法2个百分点.

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