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A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces
TLDR
This chapter presents an introductory overview and a tutorial of signal-processing techniques that can be used to recognize mental states from electroencephalographic (EEG) signals in brain–computer interfaces. Expand
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Electroencephalography (EEG)‐Based Brain–Computer Interfaces
TLDR
Brain-Computer Interfaces (BCI) are systems that can translate the brain activity patterns of a user into messages or commands for an interactive application. Expand
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Comparison of designs towards a subject-independent brain-computer interface based on motor imagery
TLDR
A major limitation of current Brain-Computer Interfaces (BCI) based on Motor Imagery (MI) is that they are subject-specific BCI, which require data recording and system training for each new user. Expand
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Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals
TLDR
We explored promising classification algorithms, both existing and new, to classify mental workload and emotions (valence and arousal) from EEG signals, with both subject-specific and subject-independent calibration. Expand
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Regularizing Common Spatial Patterns to Improve BCI Designs: Theory and Algorithms
One of the most popular feature extraction algorithms for Brain-Computer Interfaces (BCI) is the Common Spatial Patterns (CSP) algorithm. Despite its known efficiency and widespread use, CSP is alsoExpand
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SEREEGA: Simulating event-related EEG activity
TLDR
We present SEREEGA, Simulating Event-Related EEG Activity, a free and open-source MATLAB-based toolbox dedicated to the generation of simulated epochs of EEG data. Expand
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Speed of Rapid Serial Visual Presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy
TLDR
Rapid serial visual presentation (RSVP) based brain-computer interfaces (BCIs) can detect target images among a continuous stream of rapidly presented images, by classifying a viewer’s event related potentials (ERPs) associated with the target and non-target images. Expand
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SEREEGA: Simulating Event-Related EEG Activity
TLDR
We present a general-purpose open-source toolbox to simulate EEG data. Expand
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Brain-Computer Interfaces’ Contributions to Neuroergonomics
TLDR
This chapter describes the classical structure of the brain signal processing chain employed in BCIs, notably presenting the typically used preprocessing (spatial and spectral filtering, artefact removal), feature extraction and classification algorithms. Expand
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