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生物电信号的滤波与现代分析方法 被引量:1

Filter and modern analysis methods of bioelectrical-signal
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摘要 生物电信号(包括脑电、心电、肌电等)的检测,以及分析的理论研究对学术研究、临床诊断以及康复医学都具有重要的意义。生物电信号的常见分析方法在很多文章都有过论述。本文从现代理论出发,首先给出生物电信号的滤波方法,然后讨论生物电信号的现代分析方法。文章为医学和相关学科的研究提供了一定的思路。 The detection and analysis of bioelectrical-signal (EEG,ECG, EMG included) have great importance in clinical diagnosis ,rehabilitation medicine and sport medicine,The common analysis methods have been discussed in many papers, This paper bases on the modern theory . First, the paper introduces filter methods and then discusses the modern analysis of bioelectrical-signal. The paper gives some thoughts to study on medicine and concerning discipline.
出处 《医学信息(西安上半月)》 2005年第12期1595-1598,共4页 Medical Information
关键词 生物电信号 滤波 现代分析方法 bioelectrical-signal filter modern analysis method
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参考文献16

  • 1徐科.生物神经学纲要[M].北京:科学出版社,2000,1..
  • 2谷萩隆嗣.数字滤波器与信号处理[M].北京:科学出版社,2003..
  • 3吴国正 夏立 尹为民.现代信号处理技术:高阶谱、时频分析与小波变换[M].武汉:武汉大学出版社,2003,1..
  • 4程卫国 冯峰 王雪梅.matlab5.3精要、编程及高级应用[M].北京:机械工业出版社,2004,4..
  • 5吴简彤 王建华.神经网络技术及应用[M].哈尔滨:哈尔滨工程大学出版社,1998..
  • 6Wang Baoyun, Dong Heng. A chaotic annealing neutral network with gain sharpening and its application to the 0/1 knapsack problem [J] .Neutral Processing Letters, 1999,9(3):243-247 .
  • 7Nozaw H.A neutral network model as a globally coupled map and application based on chaos[J] .Choas, 1992,3:3140-3145.
  • 8Aihara K, Takabe T,Toyoda M.Chaotic neutral network [J].Physics Letters A, 1990,144(6/7):333-340.
  • 9杨绿溪 何振亚.基于神经网络混沌动力学的新信息处理技术[A]..1997年中国神经网络学术大会第五届全国神经网络与信号处理学术会议联合会以1997年中国神经计算科学大会论文集(1-2)[M].南京:人民邮电出版社,1997:10..
  • 10Amir B Geva Scale. Net-multiscale neutral network architecture for time series prediction .IEEE Transactions on Neural works. 1998,9(6): 1471-1482.

二级参考文献20

  • 1[1]D Graupe, W K Cline. Function separation of EMG signals via ARMA identification methods for prosthesis control purposes[ J].IEEE Trans Syst Man Cybern, 1975,5(2):252- 259.
  • 2[2]M Unser, A Aldroubi. A Review of Wavelets in Biomedical Applications[ J]. Proceedigs of the IEEE, 1996,84(4): 626 - 638.
  • 3Cohen MA, Taylor JA. Short-term cardiovascular oscillations in man: measuring and modelling the physiologies[J].J Physiol, 2002, 542(3):669-683.
  • 4Porta A, Baselli G, Montano N, et al. Non-linear dynamics in the beat-to-beat variability of sympathetic activity in decerebrate cats[J]. Methods Inf Med, 1994,33:89-93.
  • 5Censi F, Calcagnini G, Cerutti S. Coupling patterns between spontaneous rhythms and respiration in cardiovascular variability signals[J]. Comput Methods Programs Biomed , 2002,68:37-47.
  • 6Eckmann JP, Kamphorst SO, Ruelle D. Recurrence plots of dynamical systems[J]. Europhys Lett, 1987,4: 973- 977.
  • 7Webber CL Jr, Zbilut JP. Dynamical assessment of physiological systems and states using recurrence plot strategies[J].J Appl Physiol, 1994,76 (2) :965-973.
  • 8Kantz H, Schreiber T,Nonlinear time series analysis[M]. London : Cambridge University Press, 19 9 7.
  • 9Cohen MA, Taylor JA. Short-term cardiovascular oscillations in man: measuring and modelling the physiologies[J]. J Physiol, 2002, 542(3):669-683.
  • 10Porta A, Baselli G, Montano N, et al. Non-linear dynamics in the beat-to-beat variability of sympathetic activity in decerebrate cats[J]. Methods Inf Med, 1994,33:89-93.

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