| Detection the Character Wave in Epileptic EEG by Wavelet |
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| 引用本文： | 陈华富,钮海. Detection the Character Wave in Epileptic EEG by Wavelet[J]. 中国电子科技, 2004, 2(1) |
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| 作者姓名： | 陈华富 钮海 |
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| 作者单位： | School of Applied Mathematics，UESTC Chengdu 610054 China，Department of Mathematics，Sichuan University Chengdu 610064 China |
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| 基金项目： | Supported by the National Natural Science Foundation of China(No.90208003, No.30200059)，973 Project (No.2003CB716106) |
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| 摘 要： | Electro encephalography (EEG) is an important clinical tool in theoretical study, diagnosis and treatment of several neurological disorders such as epilepsy and sleeping disorders. For the most part, human epilepsy is the intrinsic brain pathology. Its major manifestation in the epileptic seizure, which may involve a discrete part of the brain partial or the whole cerebral mass generalized. Ictal EEG is characterized by repetitive high-amplitude activity, either fast spikes, slow waves, or s…
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Detection the Character Wave in Epileptic EEG by Wavelet |
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| Chen Huafu,NIU Hai. Detection the Character Wave in Epileptic EEG by Wavelet[J]. Journal of Electronic Science Technology of China, 2004, 2(1) |
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| Authors: | Chen Huafu NIU Hai |
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| Affiliation: | 1. School of Applied Mathematics,UESTC Chengdu 610054 China
2. Department of Mathematics,Sichuan University Chengdu 610064 China |
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| Abstract: | Human epilepsy is an intrinsic brain pathology, which can be characterized by repetitive high-amplitude electroencephalograph (EEG) activity. The wavelet transform provides an important tool in signal analysis and feature extraction. In this paper, the modulus maximum pair of a wavelet transform is used to detect the singularity value of the sharps and the spikes embedded in the background activities of the epilepsy EEG. The efficacy of the proposed method has been tested with clinical EEG. |
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| Keywords: | wavelet electroencephalograph singularity value |
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