Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification

International Journal of Computer Applications in Technology ◽

10.1504/ijcat.2020.10034806 ◽

2020 ◽

Vol 64 (4) ◽

pp. 403

Author(s):

Rajdeep Chatterjee ◽

Ankita Chatterjee

Keyword(s):

Feature Selection ◽

Motor Imagery ◽

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Signal Classification ◽

Eeg Signal Classification ◽

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Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification

International Journal of Computer Applications in Technology ◽

10.1504/ijcat.2020.112686 ◽

2020 ◽

Vol 64 (4) ◽

pp. 403

Author(s):

Rajdeep Chatterjee ◽

Ankita Chatterjee

Keyword(s):

Feature Selection ◽

Motor Imagery ◽

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Signal Classification ◽

Eeg Signal Classification ◽

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A novel machine learning based feature selection for motor imagery EEG signal classification in Internet of medical things environment

Future Generation Computer Systems ◽

10.1016/j.future.2019.01.048 ◽

2019 ◽

Vol 98 ◽

pp. 419-434 ◽

Author(s):

Rajdeep Chatterjee ◽

Tanmoy Maitra ◽

SK Hafizul Islam ◽

Mohammad Mehedi Hassan ◽

Atif Alamri ◽

...

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Motor Imagery ◽

Signal Classification ◽

Internet Of Medical Things ◽

Eeg Signal Classification ◽

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Feature selection for neutral vector in EEG signal classification

Neurocomputing ◽

10.1016/j.neucom.2015.10.012 ◽

2016 ◽

Vol 174 ◽

pp. 937-945 ◽

Author(s):

Zhanyu Ma ◽

Zheng-Hua Tan ◽

Jun Guo

Keyword(s):

Feature Selection ◽

Signal Classification ◽

Neutral Vector ◽

Eeg Signal Classification ◽

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Firefly Algorithm Based Feature Selection for EEG Signal Classification

2020 Medical Technologies Congress (TIPTEKNO) ◽

10.1109/tiptekno50054.2020.9299273 ◽

2020 ◽

Author(s):

Ebru Ergun ◽

Onder Aydemir

Keyword(s):

Feature Selection ◽

Firefly Algorithm ◽

Signal Classification ◽

Eeg Signal Classification ◽

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Immune clonal algorithm based feature selection for epileptic EEG signal classification

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) ◽

10.1109/isspa.2012.6310672 ◽

2012 ◽

Author(s):

Yong Peng ◽

Bao-Liang Lu

Keyword(s):

Feature Selection ◽

Signal Classification ◽

Eeg Signal Classification ◽

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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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Motor Imagery based Multivariate EEG Signal Classification for Brain Controlled Interface Applications

2019 7th International Conference on Mechatronics Engineering (ICOM) ◽

10.1109/icom47790.2019.8952008 ◽

2019 ◽

Author(s):

Fatima Farooq ◽

Nasir Rashid ◽

Amber Farooq ◽

Muzamil Ahmed ◽

Ayesha Zeb ◽

...

Keyword(s):

Motor Imagery ◽

Signal Classification ◽

Eeg Signal Classification

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Feature selection by independent component analysis and mutual infornation maximization in EEG signal classification

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ◽

10.1109/ijcnn.2005.1556405 ◽

2006 ◽

Author(s):

Tian Lan ◽

D. Erdogmus ◽

A. Adami ◽

M. Pavel

Keyword(s):

Feature Selection ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Signal Classification ◽

Eeg Signal Classification

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Motor imagery EEG signal classification scheme based on autoregressive reflection coefficients

2014 International Conference on Informatics, Electronics & Vision (ICIEV) ◽

10.1109/iciev.2014.6850812 ◽

2014 ◽

Author(s):

Md. Toky Foysal Talukdar ◽

Shahnewaz Karim Sakib ◽

Naqib Sad Pathan ◽

Shaikh Anowarul Fattah

Keyword(s):

Motor Imagery ◽

Classification Scheme ◽

Signal Classification ◽

Reflection Coefficients ◽

Eeg Signal Classification

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A novel effective feature selection algorithm based on S-PCA and wavelet transform features in EEG signal classification

2011 IEEE 3rd International Conference on Communication Software and Networks ◽

10.1109/iccsn.2011.6014686 ◽

2011 ◽

Author(s):

Saadat Nasehi ◽

Hossein Pourghassem

Keyword(s):

Feature Selection ◽

Wavelet Transform ◽

Signal Classification ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Eeg Signal Classification

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