Chong Li, Shiyu Hu, Xinyan Zhang, Jiale Chen
School of Communication Engineering, Tongda College of Nanjing University of Posts and Telecommunications, Yangzhou, China
Epilepsy is a chronic disease with sudden abnormal discharge of brain neurons, leading to transient brain dysfunction, which has a great impact on the physical and mental health of patients. In this paper, we use the NISOMAP manifold algorithm to reduce the dimension of high-dimensional data randomly selected from the public epilepsy data set, aiming at the disadvantage that the traditional supervised model is nonlinear in feature extraction. The experimental results show that, compared with other dimension reduction algorithms, NISOMAP has a better dimension reduction effect. The visualized shape is oval, with certain regularity, and it is convenient to observe the attack point. It is superior to other algorithms in different sample data, and provides great help for the diagnosis of epilepsy patients.
Manifold learning; Visualization; Dimension reduction; Epilepsy; EEG signal
Chong Li, Shiyu Hu, Xinyan Zhang, Jiale Chen. Study on EEG signal of epileptic patients based on NLSOMAP algorithm. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 4: 19-23. https://doi.org/10.25236/IJFET.2023.050404.
 Dong Yingchao, Wang Bin, Ma Sasa, Liu Hui, Xiong Xin, Xue Jie. Research on dimension reduction method of brain network state observation matrix based on t-SNE [J]. Computer Engineering and Application 2018(01)
 Wang Ziqiang, Qian Xu, Kong Min. Overview of manifold learning algorithms [J]. Computer Engineering and Application 2008(35)
 Zhang Shanwen, Zhang Chuanlei. Gait recognition method based on supervised Isomap [J]. Computer Application Research 2012(11)
 Liu Jinling. Isomap based Chinese short message text clustering algorithm [J]. Computer Engineering and Application 2009(34)
 Yang Shuo, Wu Songhua, Liu Tongliang, Xu Min. Bridging the Gap between Few-Shot and Many-Shot Learning via Distribution Calibration. [J]. IEEE transactions on pattern analysis and machine intelligence. 2021
 Jung Hong-Gyu, Lee Seong-Whan. Few-Shot Learning with Geometric Constraints. [J]. IEEE transactions on neural networks and learning systems. 2020
 Lee Sangmin S., Lee Kiwon, Kang Guiyeom. EEG Artifact Removal by Bayesian Deep Learning & ICA [J]. 42ND Annual International Conferences of the Ieee Engineering In Medicine And Biology Society: Enabling Innovative Technologies For Global Healthcare Embc’20. 2020