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基于独立元神经网络的生理电信号分析系统的设计

Design of biopotential analysis system based on ICA neural network
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摘要 独立元分析ICA(Independent Component Analysis)是信号处理技术的新发展,引起了生物医学工程界的关注。介 绍了基于独立元神经网络的生理电信号分析系统的设计,并讨论了生理电信号分析系统的基本组成。 The independent component analysis is a new method for signal processing, which has been paid attention to in the field of biomedical engineering. This paper introduces the design of biopotential analysis system based on ICA neural network and discusses its foundamental components.
出处 《医疗卫生装备》 CAS 2005年第11期21-21,23,共2页 Chinese Medical Equipment Journal
关键词 独立元分析 盲信号分离 神经网络 生理电信号 independent component analysis blind signal separation neural network biopotential signal
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参考文献3

  • 1A J Bell, T J Sejnowski. An information-maximisation approach to blind separation and blind deconvolution[J]. Neural Computation, 1995(7):1129~1159
  • 2T.W.Lee,M.Girolami,T.J. Sejnowski. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-gaussian and Super-gaussian Sources[J]. Neural Computation, 1999,11(2):417~441
  • 3Aapo Hyvarinen. Fast and Robust Fixed-Point Algorithms for In dependent Component Analysis [J]. IEEE Transactions on neural networks, 1999,10(3) :626~634

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