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

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

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

10.1007/978-3-030-61609-0_7 ◽

2020 ◽

pp. 79-91

Author(s):

Mikhail Tokovarov

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Motor Imagery ◽

Eeg Signals ◽

Full Dimension

Deep Learning Classification of two-class Motor Imagery EEG signals using Transfer Learning

2020 International Conference on e-Health and Bioengineering (EHB) ◽

10.1109/ehb50910.2020.9280257 ◽

2020 ◽

Author(s):

Nijisha Shajil ◽

M Sasikala ◽

A M Arunnagiri

Keyword(s):

Deep Learning ◽

Transfer Learning ◽

Motor Imagery ◽

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 ◽

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

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

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

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 ◽

Eeg Signals ◽

Deep Convolutional Neural Networks ◽

Power Spectral

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 ◽

Deep Convolutional Neural Networks ◽

Spatial Filters

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 ◽

Single Trial ◽

Deep Convolutional Neural Networks ◽

Eeg Classification

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

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

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

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

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

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

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 ◽