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基于BP神经网络的非接触生命参数信号检测
http://www.100md.com 《第四军医大学学报》 2004年第14期
BP神经网络,,BP神经网络;模式识别;非接触,0引言,1BP神经网络的基本模型及实验方法,2神经网络信号处理实验与结果,3讨论,【参考文献】
     Detection of noncontact lifeparameter signals by BP neural network

    YANG Dong, WANG JianQi, JING XiJing, NI AnSheng, LU GuoHua

    Department of Electronic Engineering, School of Biomedical Engineering, Fourth Military Medical University, Xian 710033, China

    【Abstract】 AIM: To detect noncontact lifeparameter signals by BP neural network METHODS: Simulated signals and the real signals were processed using a fourlayer BP neural network based on the software of the Matlab. RESULTS: Noncontact lifeparameter signals were identified against strong noise background. CONCLUSION: The method is effective in detecting the noncontact lifeparameter signals.

    【Keywords】 BP neural networks; pattern recognition; noncontact

    【摘要】 目的: 探讨基于BP神经网络的雷达式非接触生命参数信号检测方法. 方法: 采用四层BP神经网络的模式识别算法,利用Matlab软件环境编写算法程序,进行仿真实验与实际信号处理. 结果: 利用该方法进行非接触检测系统信号的识别,能够在强噪声背景下检测出生命参数信号. 结论: 该方法适用于随机性较强的微弱信号检测 ......

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