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Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals

机译：从脑电图（EEG）信号推断脑状态的主题建模

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作者
Prabhudesai, Kedar S.;
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作者单位

Duke University.;

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授予单位 Duke University.;
学科
学位 Ph.D.
年度 2018
页码 147 p.
总页数 147
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Evolution of the Brain Computing Interface (BCI) and Proposed Electroencephalography (EEG) Signals Based Authentication Model [J] . Qaseem Ramzan, Stanislav Shidlovskiy MATEC Web of Conferences . 2018,第1期

机译：基于脑计算接口（BCI）和提议的脑电图（EEG）信号的认证模型的发展
2. An efficient intelligent system for the classification of electroencephalography (EEG) brain signals using nuclear features for human cognitive tasks [J] . Qazi Emad-ul-Haq, Hussain Muhammad, Aboalsamh Hatim Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第1aPta2期

机译：一种高效的智能系统，用于使用核特征对人类认知任务的核特征进行脑电图（EEG）脑信号的智能系统
3. Lifescience Global :: Abstract : Feature Extraction Using Independent Component Analysis Method from Non-Invasive Recordings of Electroencephalography (EEG) Brain Signals [J] . Feature Extraction Using Independent Component Analysis Method from Non-Invasive Recordings of Electroencephalography (EEG) Brain Signals Pages 259-267 Muhammad Azhar, Ishfaque Ahmed, Syed Tanveer Iqbal, Journal of Basic and Applied Sciences . 2017,第6期

机译：使用独立成分分析方法从脑电图（EEG）脑信号的非侵入性记录中提取特征
4. A New Neuronal Electrical Source Model Considering Electrophysiology to Simulate Realistic Electroencephalography (EEG) Forward Signals [C] . Chang-Hwan Im, Chany Lee, Hyun-Kyo Jung Compumag . 2007

机译：考虑电生理学模拟现实脑电图（EEG）前向信号的新神经元电源模型。
5. Signal Models for Fusion of Multiple Brain Responses and Context Evidence Sources in EEG-Based BCIS [D] . Gonzalez-Navarro, Paula 2018

机译：基于EEG的BCIS中多种脑反应和情境证据源融合的信号模型
6. Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network [O] . Md. Asadur Rahman, Mohammad Shorif Uddin, Mohiuddin Ahmad 2019

机译：通过卷积神经网络从FNIR和EEG信号脑电器界面的志愿和图像运动的建模与分类
7. Feature Extraction Using Independent Component Analysis Method from Non-Invasive Recordings of Electroencephalography (EEG) Brain Signals [O] . Imran Siddiqui 2017

机译：来自脑电图（EEG）脑信号的非侵入式记录的独立分量分析方法特征提取
8. Investigation of the Correlation Between Neurocognitive Function with Advanced Magnetic Resonance Imaging (MRI), Electroencephalography (EEG) in Patients with Traumatic Brain Injury Exposure: Neurocognitive function and advanced MRI and EEG. [R] . A. Ptito B. Cheung J. Chen N. Gosselin S. Huntgeburth 2011

机译：神经认知功能与先进磁共振成像（mRI），脑电图（EEG）在创伤性脑损伤患者中的相关性研究：神经认知功能和先进的mRI和脑电图。

Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals

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