Chinese | English
Log In By IDS | Log In By KMS | Register
Search in the results
兰州大学机构库

Browse/Search Results:  1-10 of 62 Help

Selected(0)Clear Items/Page:    Sort:
普适化三导脑电抑郁感算一体化关键问题研究 学位论文
工学硕士, 兰州: 兰州大学, 2023
Authors:  刘峥珂
Favorite  |    Submit date：2023/11/15
抑郁症  Depression  脑电信号  EEG signal  神经网络  Neural Network  片上系统  System on Chip  
基于静息态脑电数据的高阶脑网络分析和抑郁识别研究 学位论文
工学硕士, 兰州: 兰州大学, 2023
Authors:  孔文文
Favorite  |    Submit date：2023/11/15
抑郁症  depression  脑电  EEG  高阶脑网络  higher-order brain network  功能连接  functional connectivity  图论  graph theory  
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2023, 卷号: PP, 期号: 99, 页码: 1-12
Authors:  S. Sun;  H. Chen;  G. Luo;  C. Yan;  Q. Dong;  X. Shao;  X. Li;  B. Hu
Favorite  |    Submit date：2023/05/25
EEG  major depressive disorder  clustering  fusion  classification  
Analysis of functional connectivity in depression based on a weighted hyper-network method 期刊论文
Journal of Neural Engineering, 2023, 卷号: 20, 期号: 1
Authors:  Shao, Xuexiao;  Kong, Wenwen;  Sun, Shuting;  Li, Na;  Li, Xiaowei;  Hu, Bin
Favorite  |    Submit date：2023/04/12
hyper-network  weighted hyper-edge  functional connectivity  depression  resting-state EEG data  
Analysis of functional connectivity in depression based on a weighted hyper-network method 期刊论文
Journal of Neural Engineering, 2023, 卷号: 20, 期号: 1
Authors:  Shao, Xuexiao;  Kong, Wenwen;  Sun, Shuting;  Li, Na;  Li, XW(李小伟);  Hu, B(胡斌)
Favorite  |    Submit date：2023/04/12
Brain  Classification (of information)  Diagnosis  Brain connectivity  Brain networks  Brain regions  Depression  Functional connectivity  Hyper-network  Network methods  Resting state  Resting-state EEG data  Weighted hyper-edge  
Analysis of functional connectivity in depression based on a weighted hyper-network method 期刊论文
Journal of Neural Engineering, 2023, 卷号: 20, 期号: 1
Authors:  Shao, Xuexiao;  Kong, Wenwen;  Sun, Shuting;  Li, Na;  Li, XW(李小伟);  Hu, B(胡斌)
Favorite  |    Submit date：2023/07/18
Brain  Classification (of information)  Diagnosis  Brain connectivity  Brain networks  Brain regions  Depression  Functional connectivity  Hyper-network  Network methods  Resting state  Resting-state EEG data  Weighted hyper-edge  
EEG based depression recognition using improved graph convolutional neural network 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 148
Authors:  Zhu, Jing;  Jiang, Changting;  Chen, Junhao;  Lin, Xiangbin;  Yu, Ruilan;  Li, Xiaowei;  Bin Hu
Favorite  |    Submit date：2022/11/09
Depression  EEG  Graph convolution network  Classification  
EEG based depression recognition using improved graph convolutional neural network 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 148
Authors:  Zhu, J(祝婧);  Jiang, Changting;  Chen, Junhao;  Lin, Xiangbin;  Yu, Ruilan;  Li, XW(李小伟);  Hu, B(胡斌)
Favorite  |    Submit date：2022/11/08
Brain  Convolutional neural networks  Electroencephalography  Electrophysiology  Graph theory  Matrix algebra  Multilayer neural networks  Network layers  Spectral density  Convolutional neural network  Depression  Diagnostic methods  Graph convolution network  Input layers  Linear feature  Normal controls  Objective methods  Resting state  Weight matrices  
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates 期刊论文
IEEE Transactions on Computational Social Systems, 2022, 卷号: 9, 期号: 3, 页码: 700-709
Authors:  Wang, Juan;  Peng, Ru;  Liu, Quanying;  Peng, Hong
Favorite  |    Submit date：2022/04/20
Electroencephalography  Feature extraction  Drugs  Electrodes  Topology  Time series analysis  Support vector machines  Binary classification  electroencephalography (EEG)  heroin addiction  microstate  Classification (of information)  Computer aided diagnosis  Electrophysiology  Genetic algorithms  Drug  Features extraction  Heroin addiction  Individual control  Microstate.  Microstates  Support vectors machine  Time-series analysis  
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates 期刊论文
IEEE Transactions on Computational Social Systems, 2022, 卷号: 9, 期号: 3, 页码: 700-709
Authors:  Wang, Juan;  Peng, Ru;  Liu, Quanying;  Peng, H(彭宏)
Favorite  |    Submit date：2022/11/08
Electrophysiology  Support vector machines  Genetic algorithms  Binary classification  Drug  Electroencephalography  Features extraction  Heroin addiction  Individual control  Microstate.  Microstates  Support vectors machine  Time-series analysis