Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs
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Summary
A comparative analysis of different signal processing techniques for each BCI system stage concerning steady state visually evoked potentials (SSVEP), which includes feature extraction performed by different spectral methods, leads to a representative and helpful comparative overview of robustness and efficiency of classical strategies.
- Type
- article
- Published
- 2015-08-01
- Cited by
- 76
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W657405707
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:38937173
Keywords
Brain–computer interface, Computer science, Linear discriminant analysis, Feature extraction, Support vector machine
References
- Adaptive Filter Theory
- Pattern Recognition and Machine Learning
- Neural networks for pattern recognition
- Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine
- Toward Brain-Computer Interfacing
- Frequency recognition methods for dual-frequency SSVEP based brain-computer interface
- Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface
- Evaluation of feature extraction methods for EEG-based brain–computer interfaces in terms of robustness to slight changes in electrode locations
- Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
- Extreme learning machines: a survey
- A Voting Optimized Strategy Based on ELM for Improving Classification of Motor Imagery BCI Data
- Stimulus specificity of a steady-state visual-evoked potential-based brain–computer interface
- Wrappers for Feature Subset Selection
- A Cluster Separation Measure
- Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena
- Time-locked and phase-locked features of P300 event-related potentials (ERPs) for brain-computer interface speller
- Brain-Computer Interfacing for Intelligent Systems
- The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
- Optimal spatial filtering for the steady state visual evoked potential: BCI application
- Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials
Cited by
- To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs
- Adaptive Spectral Estimation of Non-stationary Biomedical Signals Based on Autoregressive Modeling and Kalman Filtering
- Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs
- Control systems of rehabilitation engineering equipment — A review
- Combining the Benefits of CCA and SVMs for SSVEP-based BCIs in Real-world Conditions
- Can graph metrics be used for EEG-BCIs based on hand motor imagery?
- EEG sensorimotor rhythms’ variation and functional connectivity measures during motor imagery: linear relations and classification approaches
- Deep learning-based classification for brain-computer interfaces
- Brain computer interface systems using non-invasive electroencephalogram signal: A literature review
- Improving SSVEP-BCI performance using pre-trial normalization methods
- Novel spatial filter for SSVEP-based BCI: A generated reference filter approach
- Dendrite morphological neural networks for motor task recognition from electroencephalographic signals
- Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game
- Event related potential analysis techniques for autism spectrum disorders: A review
- Efeito das técnicas de filtragem espacial no desempenho de sistemas BCI-SSVEP : um estudo de caso.
- Improved Brain-Computer Interface Methods with Application to Gaming
- Classification of EEG signals based on mean-square error optimal time-frequency features
- Feature Extraction and Simulation of EEG Signals During Exercise-Induced Fatigue
- Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces
- Classification of Motor Imagery Using Combination of Feature Extraction and Reduction Methods for Brain-Computer Interface
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