封面圖片

Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal

One of the popular features extraction methods for recognizing motor imagery EEG signal is Common Spatial Pattern (CSP). CSP is an algorithm that maximize the variance of one class and minimize the variance of other class simultaneously to discriminate two classes of multichannel EEG signals for cla...

Saved in:

書目詳細資料
Main Authors:	Hilman, Fauzi, Mohd Ibrahim, Shapiai, Noor Akhmad, Setiawan, Jafreezal, Jaafar, Mahfuzah, Mustafa
格式:	Conference or Workshop Item
語言:	English
出版:	IEEE 2017
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://umpir.ump.edu.my/id/eprint/23210/1/Channel%20selection%20for%20common%20spatial%20pattern%20Based%20on%20energy%20calculation%20of%20motor%20imagery%20EEG%20signal.pdf http://umpir.ump.edu.my/id/eprint/23210/ https://doi.org/10.1109/ICCEREC.2017.8226692 https://doi.org/10.1016/j.ijrefrig.2018.02.006
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
由: Prathama, Y.B.H., et al.
出版: (2017)

Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal
由: Khatereh Darvish ghanbar, et al.
出版: (2021)

EEG Analysis and Modeling of Motor Imagery for Rehabilitation
由: Lee, Zhuo Xuan
出版: (2024)

The implementation of EEG transfer learning method using integrated selection for motor imagery signal
由: Ramadhani, A., et al.
出版: (2021)

The design of stroke EEG channel selection system using spatial selection method
由: Utami, Irena Arvianda Wulan, et al.
出版: (2021)

An efficient approach for recognition of motor imagery EEG signals using the fourier decomposition method.
由: Sharma, Neha, et al.
出版: (2023)

Spatial selection configuration on EEG stroke signal
由: Firdaus, Fulki, et al.
出版: (2022)

Recent trends in eeg-based motor imagery signal analysis and recognition: a comprehensive review.
由: Sharma, Neha, et al.
出版: (2023)

Eeg channel selection techniques in motor imagery applications: A review and new perspectives
由: Abdullah, et al.
出版: (2022)

Robust classification of motor imagery EEG signals using statistical time–domain features
由: Khorshidtalab, Aida, et al.
出版: (2013)

Feature Extraction of EEG Signal by Power Spectral Density for Motor Imagery Based BCI
由: Alam, Mohammad Nur, et al.
出版: (2021)

Classification Of EEG Imagery Motor Function Using 3D Convolutional Neural Network
由: Kanesan, Thivagar
出版: (2020)

EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
由: WANG, CHIA WOON
出版: (2019)

EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
由: Woon, W.C., et al.
出版: (2019)

EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
由: Woon, W.C., et al.
出版: (2019)

Five-Class SSVEP Response Detection using Common Spatial Pattern (CSP)-SVM Approach
由: Rashid, Mamunur, et al.
出版: (2020)

Classification of motor imaginary EEG signals using machine learning
由: Abdeltawab, Amr, et al.
出版: (2020)

The performance analysis of K-Nearest Neighbors (K-NN) Algorithm for Motor Imagery Classification based on EEG Signal
由: Nurul E’zzati, Md Isa, et al.
出版: (2021)

EEG motor imagery applications in brain-computer interface based wheelchair control
由: Suzani binti Mohamad Samuri
出版: (2019)

EEG motor imagery applications in brain computer interface based wheelchair control
由: Nazre bin Abdul Rashid
出版: (2019)

Classification of EEG Signal for Body Earthing Application
由: Noor Aisyah , Ab Rahman, et al.
出版: (2017)

EEG based BCI using visual imagery task for robot control
由: Husnaini, Azmy, et al.
出版: (2013)

Offline EEG-based DC Motor Control for Wheelchair Application
由: Norizam, Sulaiman, et al.
出版: (2019)

An effectiveness of EEG signal based on body earthing application
由: Zarith Liyana, Zahari, et al.
出版: (2022)

Interpretation of Human Thought using EEG Signals and LabVIEW
由: Norizam, Sulaiman, et al.
出版: (2014)

Motor imagery task classification using transformation based features
由: Khorshidtalab, Aida, et al.
出版: (2017)

Brain machine interface: motor imagery recognition with different signal length representations
由: Hema, Chengalvarayan Radhakrishnamurthy, et al.
出版: (2009)

Offline LabVIEW-based EEG signals analysis for human stress monitoring
由: Norizam, Sulaiman, et al.
出版: (2018)

Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm
由: Samdin, Siti Balqis, et al.
出版: (2014)

MSFNet: A multi-scale space-time frequency fusion network for motor imagery EEG classification
由: Wang, Chang, et al.
出版: (2024)

Offline LabVIEW-based EEG Signals Analysis for Human Stress Monitoring
由: Norizam, Sulaiman, et al.
出版: (2019)

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
由: Norizam, Sulaiman, et al.
出版: (2024)

Emotion Detection Based on EEG Signal
由: Mohamad Nasaruddin, Noradila
出版: (2021)

Empirical Mode Decomposition Coupled with Fast Fourier Transform based Feature Extraction Method for Motor Imagery Tasks Classification
由: Islam, Md Nahidul, et al.
出版: (2020)

The classification of EEG signal processing using different machine learning techniques for BCI application
由: Rashid, Mamunur, et al.
出版: (2019)

Anxiety classification using EEG signals
由: Ong, Ching Wei
出版: (2022)

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals
由: Adam, A., et al.
出版: (2016)

Feature Selection using Angle Modulated Simulated Kalman Filter for Peak Classification of EEG Signals
由: Asrul, Adam, et al.
出版: (2016)

Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification
由: Rafiuddin, Abdubrani, et al.
出版: (2023)

Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
由: Asrul, Adam, et al.
出版: (2016)