Method of EEG signals classification based on wavelet transform and neural networks
-
摘要: 结合小波变换和神经网络对酒精中毒者和正常清醒者的脑电信号进行分类.通过分析脑电数据找出分类特征;采用一维离散小波变换提取含有分类特征的脑电信号频段,并以小波变换分解系数作为信号特征,实现数据序列长度压缩;对应3种刺激方式建立3个相同结构的学习向量量化(LVQ)神经网络,用于对脑电信号的预分类;根据判决规则得到最终分类结果.对真实脑电数据的分类正确率达到89%.Abstract: Electroencephalography (EEG) signals of alcoholic subjects and control subjects were classified by combination of wavelet transforms and neural networks. Classification features were discovered through the EEG data analysis. The frequency bands of EEG signals including classification features were extracted by 1-D wavelet transforms. The decomposed coefficients of wavelet transforms were remained as signals characters to accomplish the length compression of data sequences. Three learning vector quantization (LVQ) networks with same structure corresponding to three kinds of stimulations were built for the predictive classification of the EEG signals. The final classification results were acquired by judge rules. The classification accuracy of experiment EEG signals reach 89%.
-
Key words:
- electroencephalography /
- wavelet transforms /
- neural networks
-
[1] 刘晓欲, 蒋大宗, 黄远桂. 生物信号模式识别的方法及其在脑电中的应用进展[J] 北京生物医学工程, 1996, 15(3):188~193 Liu Xiaoyu, Jiang Dazong, Huang Yuangui. Biological signal pattern recognition method and application in EEG[J] Beijing Biomedical Engineering, 1996, 15(3):188~193 (in Chinese)[2] 林相波, 邱天爽. 基于EEG信号分析处理的癫痫预报及研究进展[J] 国外医学生物医学工程分册, 2004, 21(1):9~12 Lin Xiangbo, Qiu Tianshuang. EEG signal analysis and processing based prediction of epileptic seizures and research progress[J] Biomedical Engineering Foreign Medical Science, 2004, 21(1):9~12 (in Chinese)[3] 季 忠, 秦树人, 彭丽玲. 脑电信号的现代分析方法[J] 重庆大学学报, 2002, 25(9):108~111 Ji Zhong, Qin Shuren, Peng Liling. Signal processing of electroencephalogram and it’s application[J] Journal of Chong Qing University, 2002, 25(9):108~111 (in Chinese)[4] 袁 全, 刘兴华, 李大琛,等. 噪声和音乐对脑电功率谱的影响[J] 航天医学与医学工程, 2000, 13(6):401~404 Yuan Quan, Liu Xinghua, Li Dachen, et al. Effects of noise and music on EEG power spectrum[J] Space Medicine & Medical Engineering, 2000, 13(6):401~404(in Chinese)[5] 林高翔. 脑电功率谱分析和双波谱分析在麻醉深度监测中的应用[J] 华夏医学, 2001, 14(6):963~965 Lin Gaoxiang. The study of technique of electroencephalogram power spectrum and bispectral electroencephalogram analysis on the depth of anesthesia[J] Acta Medicinae Sinica, 2001, 14(6):963~965 (in Chinese)[6] Watt R C, Chris S, Ansel K, et al. Artificial neural networks facilitate bispectral analysis of electroencephalographic data[J] IEEE International Conference on Neural Networks, 1995, 5:2596~2599[7] Mukherjee A, Karayiannis N B, Glover J R, et al. Evaluation of cosine radial basis function neural networks in detection of artifacts in neonatal EEG[J] Proceedings of the 25th Annual International Conference of the IEEE, 2003, 3:2954~2957[8] Kim S B, Lee Y H, Kim J H, et al. Automatic detection of epileptiform activity using wavelet and expert rule base[J] Proceedings of the 20th Annual International Conference of the IEEE, 1998, 4:2078~2081[9] Lester Ingber. Raw EEG data . [10] 杨福生. 小波变换的工程分析与应用[M] 北京:科学出版社, 2001. 42~48 Yang Fusheng. Engineering analysis and application of wavelet transforms[M] Beijing:Science Press, 2001.42~48(in Chinese)[11] Martin T H, Howard B D, Mark H B. Neural network design[M] Stamford:Thomson Learning Company, 1996. 295~299 期刊类型引用(17)
1. 耿敬，李秋洁，李向阳，李明伟. 基于LCZOA算法的季冻区大型水利工程建设进度优化方法研究. 工程管理学报. 2025(02): 86-92 . 
百度学术2. 张琴，蔡慧茹，兰明东，浦克，胡雄. 基于改进麻雀优化PID的波浪补偿控制方法. 工程科学与技术. 2024(01): 22-34 . 百度学术3. 王彦快，米根锁，孔得盛，杨建刚，张玉. 基于MDS和改进SSA-SVM的高速铁路道岔故障诊断方法研究. 铁道学报. 2024(01): 81-90 . 百度学术4. 夏煌智，陈丽敏，毛雪迪. 融入动态学习与高斯变异的自适应秃鹰搜索算法. 计算机与现代化. 2024(01): 117-126 . 百度学术5. 杜云，周志奇，贾科进，丁力，卢孟杨林. 混合多项自适应权重的混沌麻雀搜索算法. 计算机工程与应用. 2024(07): 70-83 . 百度学术6. 张迎春，姜岚，唐波，陈曦，胡辉. 基于改进麻雀搜索算法的变电构架优化方法. 振动与冲击. 2024(07): 94-101 . 百度学术7. 游志平，马宏，梁群，王冠华. 基于IDBO-KELM的汽车零部件激光熔覆几何形貌预测建模方法研究. 应用激光. 2024(03): 51-62 . 百度学术8. 马夏敏，张雷克，刘小莲，田雨，王雪妮，邓显羽. 基于麻雀搜索算法的梯级泵站优化调度. 水力发电学报. 2024(05): 43-53 . 百度学术9. 王攀，胡业林. 基于改进麻雀算法的配电网故障定位. 哈尔滨商业大学学报(自然科学版). 2024(03): 307-314 . 百度学术10. 王晨，周雪松，马幼捷，赵明，王鸿斌，赵家欣. 基于混合策略麻雀搜索算法优化的DC-DC变换器自抗扰稳压策略. 国外电子测量技术. 2024(07): 46-56 . 百度学术11. 李嘉轩，于惠钧，马凡烁，刘紫英. 基于LF-ATSO算法在光伏系统MPPT中的研究. 现代电子技术. 2024(21): 149-155 . 百度学术12. 李易达，王雨欣，李晨曦，赵冀，马恢，张漫，李寒. 融合改进头脑风暴与Powell算法的马铃薯多模态图像配准. 农业工程学报. 2024(19): 146-158 . 百度学术13. 王基臣，许亮，张紫叶. 改进DBO优化CRJ网络的PEMFC剩余使用寿命预测. 电源技术. 2024(11): 2295-2303 . 百度学术14. 李东升，朱奎，郭艳军，张树健，高明星，韩旭航. 组合神经网络的城市用水量预测模型研究与应用. 中国水利水电科学研究院学报(中英文). 2024(06): 579-589 . 百度学术15. 苏莹莹，王升旭，白智超. 基于ISSA的多渠道易腐品供应链网络规划. 运筹与管理. 2024(11): 111-117 . 百度学术16. 李涵，李文敬. 混合策略改进的金枪鱼群优化算法. 广西科学. 2023(01): 208-218 . 百度学术17. 李泽政，刘卫星，李飞，李一帆，杨爱民. 基于数据增强的烧结矿转鼓强度预测研究. 烧结球团. 2023(06): 62-68 . 百度学术其他类型引用(50)
-
百度学术
点击查看大图
计量
- 文章访问数: 3338
- HTML全文浏览量: 50
- PDF下载量: 17661
- 被引次数: 67
下载:
