Automatic Detection and Classification of Epileptiform waves in EEG──A Hierarchical Multi-Method Approach 被引量：2

Automatic Detection and Classification of Epileptiform waves in EEG──A Hierarchical Multi-Method Approach

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摘要 A hierarchical multi-method integrated approach is proposed in this paper to detect and classify the epileptic waves in EEG automatically. The initial clinical results are encouraging. A hierarchical multi-method integrated approach is proposed in this paper to detect and classify the epileptic waves in EEG automatically. The initial clinical results are encouraging.

作者 Zhang Tong Yang Fusheng Tang Qingyu(Dept. of Electrical Engneering, Tsinghua University, Beijing, 100084, ChinaE-mai: yfS-dea@tsinghua.edu.cn)

出处《Chinese Journal of Biomedical Engineering(English Edition)》 1998年第4期139-142,共4页 中国生物医学工程学报（英文版）

关键词 EEG EPILEPTIFORM DISCHARGE WAVELET Transform Artificial Neural Network EEG, Epileptiform Discharge, Wavelet Transform, Artificial Neural Network

分类号 R312 [医药卫生—基础医学]

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同被引文献5

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1YOU Rong yi, XU Shen chu (Dept. of Phys., Xiamen University, Xiamen 361005, CHN).Analysis on Design of Kohonen-network System Based on Classification of Complex Signals[J].Semiconductor Photonics and Technology,2002,8(3):174-178. 被引量：1
2ZHOU Wei-dong1,YU Ke,JIA Lei1 . Shandong University collego of information, Jinan 250100, China.Novel Time-frequency Analysis and Representation of EEG[J].Chinese Journal of Biomedical Engineering(English Edition),2003,12(2):80-85.

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Chinese Journal of Biomedical Engineering(English Edition)

1998年第4期

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Automatic Detection and Classification of Epileptiform waves in EEG──A Hierarchical Multi-Method Approach 被引量：2

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