Related references
Note: Only part of the references are listed.A Novel Hybrid Swarm Algorithm for P300-Based BCI Channel Selection
Victor Martinez-Cagigal et al.
WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 3 (2019)
EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning
Farhan Riaz et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity
Mohammed Diykh et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
A Wavelet-Based Artifact Reduction From Scalp EEG for Epileptic Seizure Detection
Md Kafiul Islam et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)
The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition
Gang Wang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes
Younghee Kwon et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal
Guohun Zhu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)
Automatic sleep stage recurrent neural classifier using energy features of EEG signals
Yu-Liang Hsu et al.
NEUROCOMPUTING (2013)
Clustering technique-based least square support vector machine for EEG signal classification
Siuly et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)
Share Paper
