Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network

Journal of Neural Engineering ◽

10.1088/1741-2552/ab8b7b ◽

2020 ◽

Vol 17 (3) ◽

pp. 036005 ◽

Author(s):

Dong Wen ◽

Yanhong Zhou ◽

Peng Li ◽

Peng Zhang ◽

Jihui Li ◽

...

Keyword(s):

Neural Network ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Resting State ◽

Amnestic Mild Cognitive Impairment ◽

Signal Classification ◽

Eeg Signal Classification

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Feature Classification Method of Resting-State EEG Signals From Amnestic Mild Cognitive Impairment With Type 2 Diabetes Mellitus Based on Multi-View Convolutional Neural Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering ◽

10.1109/tnsre.2020.3004462 ◽

2020 ◽

Vol 28 (8) ◽

pp. 1702-1709 ◽

Author(s):

Dong Wen ◽

Peng Li ◽

Yanhong Zhou ◽

Yanbo Sun ◽

Jian Xu ◽

...

Keyword(s):

Neural Network ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Resting State ◽

Amnestic Mild Cognitive Impairment ◽

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Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2021.109353 ◽

2021 ◽

Vol 363 ◽

pp. 109353

Author(s):

Dong Wen ◽

Zihao Cheng ◽

Jingjing Li ◽

Xinxiang Zheng ◽

Wang Yao ◽

...

Keyword(s):

Neural Network ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Amnestic Mild Cognitive Impairment ◽

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The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method

Neural Networks ◽

10.1016/j.neunet.2020.01.025 ◽

2020 ◽

Vol 124 ◽

pp. 373-382 ◽

Author(s):

Dong Wen ◽

Peng Li ◽

Xiaoli Li ◽

Zhenhao Wei ◽

Yanhong Zhou ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Feature Extraction ◽

Resting State ◽

Feature Fusion ◽

Amnestic Mild Cognitive Impairment ◽

Image Method ◽

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Coupling feature extraction method of resting state EEG Signals from amnestic mild cognitive impairment with type 2 diabetes mellitus based on weight permutation conditional mutual information

Cognitive Neurodynamics ◽

10.1007/s11571-021-09682-1 ◽

2021 ◽

Author(s):

Yijun Liu ◽

Xiaodong Xu ◽

Yanhong Zhou ◽

Jian Xu ◽

Xianling Dong ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Resting State ◽

Extraction Method ◽

Amnestic Mild Cognitive Impairment ◽

Conditional Mutual Information ◽

Eeg Signals ◽

Feature Extraction Method

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Resting-state EEG coupling analysis of amnestic mild cognitive impairment with type 2 diabetes mellitus by using permutation conditional mutual information

Clinical Neurophysiology ◽

10.1016/j.clinph.2015.05.016 ◽

2016 ◽

Vol 127 (1) ◽

pp. 335-348 ◽

Author(s):

Dong Wen ◽

Zhijie Bian ◽

Qiuli Li ◽

Lei Wang ◽

Chengbiao Lu ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Resting State ◽

Amnestic Mild Cognitive Impairment ◽

Conditional Mutual Information ◽

Coupling Analysis

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Time Domain Features for EEG Signal Classification of Four Class Motor Imagery Using Artificial Neural Network

Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-33-6926-9_53 ◽

2021 ◽

pp. 605-612

Author(s):

Rahmat Widadi ◽

Dodi Zulherman ◽

S. Rama Febriyan Ari

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Motor Imagery ◽

Time Domain ◽

Signal Classification ◽

Eeg Signal Classification ◽

Artificial Neural

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Symbol Recurrence Plots based resting-state eyes-closed EEG deterministic analysis on amnestic mild cognitive impairment in type 2 diabetes mellitus

Neurocomputing ◽

10.1016/j.neucom.2016.03.056 ◽

2016 ◽

Vol 203 ◽

pp. 102-110 ◽

Author(s):

Dong Cui ◽

Jinhuan Wang ◽

Lei Wang ◽

Shimin Yin ◽

Zhijie Bian ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Resting State ◽

Amnestic Mild Cognitive Impairment ◽

Recurrence Plots ◽

Deterministic Analysis ◽

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Aberrant Brain Spontaneous Activity and Synchronization in Type 2 Diabetes Mellitus Patients: A Resting-State Functional MRI Study

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2020.00181 ◽

2020 ◽

Vol 12 ◽

Author(s):

Daihong Liu ◽

Shanshan Duan ◽

Ping Wei ◽

Lihua Chen ◽

Jian Wang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Spontaneous Activity ◽

Functional Mri ◽

Resting State ◽

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A motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network

Pattern Recognition Letters ◽

10.1016/j.patrec.2021.03.023 ◽

2021 ◽

Author(s):

XianJia Meng ◽

Shi Qiu ◽

Shaohua Wan ◽

Keyang Cheng ◽

Lei Cui

Keyword(s):

Neural Network ◽

Motor Imagery ◽

Recurrence Plot ◽

Classification Algorithm ◽

Convolution Neural Network ◽

Signal Classification ◽

Eeg Signal Classification

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Systems Design for EEG Signal Classification of Sensorimotor Activity Using Machine Learning

2021 IEEE International Systems Conference (SysCon) ◽

10.1109/syscon48628.2021.9447106 ◽

2021 ◽

Author(s):

Jacqueline Heaton ◽

Sidney Givigi

Keyword(s):

Machine Learning ◽

Systems Design ◽

Signal Classification ◽

Sensorimotor Activity ◽

Eeg Signal Classification

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