Classification of Motor Imagery EEG Signals with CSP Filtering Through Neural Networks Models

Advances in Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04491-6_10 ◽

2018 ◽

pp. 123-135 ◽

Cited By ~ 3

Author(s):

Carlos Daniel Virgilio Gonzalez ◽

Juan Humberto Sossa Azuela ◽

Elsa Rubio Espino ◽

Victor H. Ponce Ponce

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Eeg Signals

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Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals

Artificial Neural Networks and Machine Learning – ICANN 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61609-0_7 ◽

2020 ◽

pp. 79-91

Author(s):

Mikhail Tokovarov

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Motor Imagery ◽

Convolutional Neural Networks ◽

Eeg Signals ◽

Full Dimension

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Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks

10.1109/embc46164.2021.9630155 ◽

2021 ◽

Author(s):

Carlos Emiliano Solorzano-Espindola ◽

Erik Zamora ◽

Humberto Sossa

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Motor Imagery ◽

Subject Classification ◽

Eeg Signals

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Classification of left and right hand motor imagery EEG signals by using deep neural networks

International Journal of Applied Mathematics Electronics and Computers ◽

10.18100/ijamec.995022 ◽

2021 ◽

Vol 9 (4) ◽

pp. 85-90

Author(s):

Nuri KORHAN ◽

Leyla ABİLZADE ◽

Taner ÖLMEZ ◽

Zümray Dokur ÖLMEZ

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Deep Neural Networks ◽

Eeg Signals ◽

Right Hand ◽

Left And Right

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Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals

Augmented Cognition: Intelligent Technologies - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91470-1_14 ◽

2018 ◽

pp. 158-169 ◽

Cited By ~ 2

Author(s):

A. F. Pérez-Zapata ◽

A. F. Cardona-Escobar ◽

J. A. Jaramillo-Garzón ◽

Gloria M. Díaz

Keyword(s):

Neural Networks ◽

Spectral Density ◽

Power Spectral Density ◽

Motor Imagery ◽

Convolutional Neural Networks ◽

Eeg Signals ◽

Deep Convolutional Neural Networks ◽

Power Spectral

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Classification of multiple motor imagery using deep convolutional neural networks and spatial filters

Applied Soft Computing ◽

10.1016/j.asoc.2018.11.031 ◽

2019 ◽

Vol 75 ◽

pp. 461-472 ◽

Cited By ~ 16

Author(s):

Brenda E. Olivas-Padilla ◽

Mario I. Chacon-Murguia

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks ◽

Spatial Filters

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Single-trial EEG classification of motor imagery using deep convolutional neural networks

Optik ◽

10.1016/j.ijleo.2016.10.117 ◽

2017 ◽

Vol 130 ◽

pp. 11-18 ◽

Cited By ~ 95

Author(s):

Zhichuan Tang ◽

Chao Li ◽

Shouqian Sun

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Convolutional Neural Networks ◽

Single Trial ◽

Deep Convolutional Neural Networks ◽

Eeg Classification

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Robust classification of motor imagery EEG signals using statistical time–domain features

Physiological Measurement ◽

10.1088/0967-3334/34/11/1563 ◽

2013 ◽

Vol 34 (11) ◽

pp. 1563-1579 ◽

Cited By ~ 18

Author(s):

A Khorshidtalab ◽

M J E Salami ◽

M Hamedi

Keyword(s):

Motor Imagery ◽

Time Domain ◽

Eeg Signals ◽

Robust Classification ◽

Statistical Time

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Performance Analysis of ApEn as a Feature Extraction Technique and Time Delay Neural Networks, Multi Layer Perceptron as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG Signals

Advances in Intelligent Systems and Computing - Computational Intelligence, Cyber Security and Computational Models ◽

10.1007/978-981-10-0251-9_10 ◽

2015 ◽

pp. 89-97 ◽

Cited By ~ 3

Author(s):

Sunil Kumar Prabhakar ◽

Harikumar Rajaguru

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Time Delay ◽

Performance Analysis ◽

Extraction Technique ◽

Multi Layer Perceptron ◽

Eeg Signals ◽

Risk Levels ◽

Feature Extraction Technique

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Classification of EEG Signals for Hand Gripping Motor Imagery and Hardware Representation of Neural States Using Arduino-Based LED Sensors

Proceedings of International Conference on Artificial Intelligence and Applications - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-4992-2_21 ◽

2020 ◽

pp. 213-224

Author(s):

Deepanshi Dabas ◽

Ayushi ◽

Mehak Lakhani ◽

Bharti Sharma

Keyword(s):

Motor Imagery ◽

Eeg Signals

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A New Approach for Classification of Epilepsy EEG Signals Based on Temporal Convolutional Neural Networks

2018 11th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid.2018.10119 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jiuwen Zhang ◽

Haobo Wu ◽

Wei Su ◽

Xin Wang ◽

Meng Yang ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Eeg Signals ◽

New Approach

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