基于BP神经网络的心电信号智能诊断设计Design of electrocardiosignal intelligent diagnosis based on BP neural network
陈茜,欧阳绳武,马新宇,谢泉
摘要(Abstract):
结合差分阈值法、多重神经网络心电诊断方法提出一种新型的递进型双层BP神经网络心电信号智能诊断设计。采用差分阈值法检测QRS波特征点,通过心电采集电路板对该信号进行放大滤波处理后进行心电诊断。通过对比单一BP神经网络与递进型双层BP神经网络识别结果,得出递进型双层BP神经网络识别室性早搏、房性早搏、心房颤动时识别率更高(达到97%以上)的结论。测试结果表明,该设计有助于诊测和判断心血管疾病,提高了对治疗方法的有效性判断。
关键词(KeyWords): 心电信号;QRS波检测;小波变换;BP神经网络;深度学习;智能诊断
基金项目(Foundation): 贵州省青年英才培养工程项目(黔省专合字[2012]152号);; 贵州省科技创新人才团队建设专项资金项目(黔科合人才团队([2011]4002);; 贵州省科技厅、贵州大学联合资金项目(黔科合LH字[2014]7610)~~
作者(Author): 陈茜,欧阳绳武,马新宇,谢泉
DOI: 10.16652/j.issn.1004-373x.2018.01.017
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