Motor Imagery EEG Classification Using Filter Bank Regularized Common Spatio-Spectral Pattern

The Journal of Korean Institute of Information Technology ◽

10.14801/jkiit.2017.15.10.127 ◽

2017 ◽

Vol 15 (10) ◽

pp. 127-134

Author(s):

Sang-Hoon Park ◽

David Lee ◽

Sang-Goog Lee

Keyword(s):

Motor Imagery ◽

Filter Bank ◽

Eeg Classification ◽

Spectral Pattern

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A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

Frontiers in Neuroscience ◽

10.3389/fnins.2019.01275 ◽

2019 ◽

Vol 13 ◽

Author(s):

Hao Wu ◽

Yi Niu ◽

Fu Li ◽

Yuchen Li ◽

Boxun Fu ◽

...

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Convolutional Neural Networks ◽

Filter Bank ◽

Eeg Classification

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Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22593 ◽

2021 ◽

Author(s):

Rupesh Mahamune ◽

Shahedul H. Laskar

Keyword(s):

Wavelet Transform ◽

Motor Imagery ◽

Continuous Wavelet Transform ◽

Filter Bank ◽

Continuous Wavelet ◽

Two Dimensional ◽

Two Dimensional Images

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Motor Imagery EEG Classification Method Based on Adaptive Decision Surface of LDA Classifier

2021 11th International Conference on Bioscience, Biochemistry and Bioinformatics ◽

10.1145/3448340.3448346 ◽

2021 ◽

Author(s):

Banghua Yang ◽

Du Li ◽

BaiHeng Ma ◽

Xuelin Gu ◽

Dewen Kong

Keyword(s):

Motor Imagery ◽

Classification Method ◽

Eeg Classification

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EEG Classification-based Comparison Study of Motor-Imagery Brain-Computer Interface

10.1109/icrami52622.2021.9585902 ◽

2021 ◽

Author(s):

Kheira Djelloul ◽

Abdelkader Nasreddine Belkacem

Keyword(s):

Motor Imagery ◽

Brain Computer Interface ◽

Computer Interface ◽

Comparison Study ◽

Eeg Classification

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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 ◽

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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Continuous EEG Classification During Motor Imagery—Simulation of an Asynchronous BCI

IEEE Transactions on Neural Systems and Rehabilitation Engineering ◽

10.1109/tnsre.2004.827220 ◽

2004 ◽

Vol 12 (2) ◽

pp. 258-265 ◽

Author(s):

G. Townsend ◽

B. Graimann ◽

G. Pfurtscheller

Keyword(s):

Motor Imagery ◽

Eeg Classification ◽

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A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest

IEEE Access ◽

10.1109/access.2018.2860633 ◽

2018 ◽

Vol 6 ◽

pp. 44944-44950 ◽

Author(s):

Ranran Zhang ◽

Xiaoyan Xiao ◽

Zhi Liu ◽

Wei Jiang ◽

Jianwen Li ◽

...

Keyword(s):

Random Forest ◽

Motor Imagery ◽

Classification Method ◽

Eeg Classification

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Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network

10.1109/eurocon52738.2021.9535592 ◽

2021 ◽

Author(s):

Tamas Majoros ◽

Stefan Oniga

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Motor Imagery ◽

Eeg Classification

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High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103241 ◽

2022 ◽

Vol 72 ◽

pp. 103241

Author(s):

P. Rithwik ◽

V.K. Benzy ◽

A.P. Vinod

Keyword(s):

Spatial Pattern ◽

Motor Imagery ◽

Filter Bank ◽

Brain Computer Interface ◽

High Accuracy ◽

Computer Interface ◽

Common Spatial Pattern

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Time-frequency decomposition-based weighted ensemble learning for motor imagery EEG classification

10.1109/rcar52367.2021.9517593 ◽

2021 ◽

Author(s):

Liangsheng Zheng ◽

Yue Ma ◽

Mengyao Li ◽

Yang Xiao ◽

Wei Feng ◽

...

Keyword(s):

Ensemble Learning ◽

Motor Imagery ◽

Eeg Classification ◽

Time Frequency ◽

Frequency Decomposition

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