A statistical framework for EEG channel selection and seizure prediction on mobile
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09565-7
Abstract: This paper presents a patient-specific approach for electroencephalography (EEG) channel selection and seizure prediction based on statistical probability distributions of the EEG signals. This approach has two main phases; training and testing phases. In the… read more here.
Keywords: eeg channel; channel selection; seizure prediction; selection seizure ... See more keywords
EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3255233
Abstract: In brain-computer interface (BCI) work, how correctly identifying various features and their corresponding actions from complex Electroencephalography (EEG) signals is a challenging technology. However, most current methods do not consider EEG feature information in spatial,… read more here.
Keywords: temporal spectral; eeg channel; eeg; spectral attention ... See more keywords
Comparison of Different Features and Classifiers for Driver Fatigue Detection Based on a Single EEG Channel
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2017/5109530
Abstract: Driver fatigue has become an important factor to traffic accidents worldwide, and effective detection of driver fatigue has major significance for public health. The purpose method employs entropy measures for feature extraction from a single… read more here.
Keywords: eeg channel; detection; driver fatigue; channel ... See more keywords
EEG Channel Selection Using Multiobjective Cuckoo Search for Person Identification as Protection System in Healthcare Applications
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5974634
Abstract: Recently, the electroencephalogram (EEG) signal presents an excellent potential for a new person identification technique. Several studies defined the EEG with unique features, universality, and natural robustness to be used as a new track to… read more here.
Keywords: eeg channel; person identification; identification; mobcs knn ... See more keywords
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00593
Abstract: We present a multi-objective optimization method for electroencephalographic (EEG) channel selection based on the non-dominated sorting genetic algorithm (NSGA) for epileptic-seizure classification. We tested the method on EEG data of 24 patients from the CHB-MIT… read more here.
Keywords: eeg channel; epileptic seizure; classification; seizure classification ... See more keywords
EEG channel selection based on sequential backward floating search for motor imagery classification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.1045851
Abstract: Brain-computer interfaces (BCIs) based on motor imagery (MI) utilizing multi-channel electroencephalogram (EEG) data are commonly used to improve motor function of people with motor disabilities. EEG channel selection can enhance MI classification accuracy by selecting… read more here.
Keywords: classification; channel selection; eeg channel; motor ... See more keywords
Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants
Sign Up to like & getrecommendations! Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10060664
Abstract: Electroencephalogram (EEG) channel optimization can reduce redundant information and improve EEG decoding accuracy by selecting the most informative channels. This article aims to investigate the universality regarding EEG channel optimization in terms of how well… read more here.
Keywords: based eeg; optimization algorithm; eeg channel; channel optimization ... See more keywords
EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9120726
Abstract: Communication, neuro-prosthetics, and environmental control are just a few applications for disabled persons who use robots and manipulators that use brain-computer interface (BCI) systems. The brain’s motor imagery (MI) signal is an essential input for… read more here.
Keywords: selection techniques; brain; channel selection; eeg channel ... See more keywords