| 脑电信号数据压缩及棘波识别的小波神经网络方法 |
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| 引用本文： | 张永胜. 脑电信号数据压缩及棘波识别的小波神经网络方法[J]. 生物医学工程学杂志, 1999, 0(2): 172-176 |
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| 作者姓名： | 张永胜 |
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| 作者单位： | [1]武汉工业大学计算机科学系 [2]洛阳工业高专计算机系 |
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| 摘 要： | 对小波神经网络及其算法研究的基础上，提出了一种对脑电信号压缩表达和痫样脑电棘波识别的新方法。实验结果显示，小波网络在大量压缩数据的同时，能够较好的恢复原有信号。另外，在脑电信号的时频谱等高线图上，得到了易于自动识别的棘波和棘慢复合波特征说明此方法在电生理信号处理和时频分析方面有着光明的应用前景。
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| 关 键 词： | 脑电图 小波神经网络 数据压缩 癫痫 棘波识别 |
A Wavelet Neural Network Algorithm of EEG Signals Data Compression and Spikes Recognition |
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| Zhang Yongsheng Liu Aiping Yu Ke. A Wavelet Neural Network Algorithm of EEG Signals Data Compression and Spikes Recognition[J]. Journal of biomedical engineering, 1999, 0(2): 172-176 |
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| Authors: | Zhang Yongsheng Liu Aiping Yu Ke |
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| Affiliation: | Department of Computer Science, Wuhan University of Technology, Wuhan 430070. |
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| Abstract: | A novel method of EEG signals compression representation and epileptiform spikes recognition based on wavelet neural network and its algorithm is presented. The wavelet network not only can compress data effectively but also can recover original signal. In addition, the characters of the spikes and the spike slow rhythm are auto detected from the time frequency isoline of EEG signal. This method is well worth using in the field of the electrophysiological signal processing and time frequency analyzing. |
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| Keywords: | Electroncephalograph Wavelet neural network Data compression Signal processing Epilepsy |
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