Zhang et al., 2019
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Multi-class motor imagery EEG decoding for brain-computer interfaces | |
| Nuamah et al. | Support vector machine (SVM) classification of cognitive tasks based on electroencephalography (EEG) engagement index | |
| Lee et al. | A brain-wave-actuated small robot car using ensemble empirical mode decomposition-based approach | |
| Schetinin et al. | Feature extraction with GMDH-type neural networks for EEG-based person identification | |
| Pawar et al. | Feature extraction methods for electroencephalography based brain-computer interface: a review | |
| Kyriaki et al. | A comprehensive survey of eeg preprocessing methods for cognitive load assessment | |
| Pathirana et al. | A critical evaluation on low-cost consumer-grade electroencephalographic devices | |
| Kotowski et al. | Deep learning methods in electroencephalography | |
| Bahador et al. | A correlation-driven mapping for deep learning application in detecting artifacts within the EEG | |
| Nguyen et al. | A deep wavelet sparse autoencoder method for online and automatic electrooculographical artifact removal | |
| Trigka et al. | A survey on signal processing methods for eeg-based brain computer interface systems | |
| Ortega-Rodríguez et al. | Selection of the minimum number of EEG sensors to guarantee biometric identification of individuals | |
| Murad et al. | Unveiling thoughts: A review of advancements in eeg brain signal decoding into text | |
| Liu et al. | Identification of anisomerous motor imagery EEG signals based on complex algorithms | |
| Xu et al. | Attentional state classification using amplitude and phase feature extraction method based on filter bank and Riemannian manifold | |
| Guo et al. | Idle-state detection in motor imagery of articulation using early information: A functional near-infrared spectroscopy study | |
| Zhang et al. | Robust EOG-based saccade recognition using multi-channel blind source deconvolution | |
| Kauppi et al. | Three-way analysis of spectrospatial electromyography data: classification and interpretation | |
| Sun et al. | A comparative experimental study between instantaneous and convolutional BSS models for saccadic EOG signal separation | |
| US20240264670A1 (en) | Systems and Methods for Determining the Coupling Response of a Non-Linear Variant System | |
| Hsu | Wavelet-coherence features for motor imagery EEG analysis posterior to EOG noise elimination | |
| Yeh et al. | Spatially specific attention mechanisms are sensitive to competition during visual search | |
| Kordmahale et al. | A novel artifact removal method for the SSVEP signal using hybrid CCA-DWT and comparative analysis for feature selection and classification in the P300 signal | |
| Flores et al. | Performance evaluation of a P300 brain-computer interface using a kernel extreme learning machine classifier | |
| Hong et al. | Signal processing algorithms for motor imagery brain-computer interface: State of the art |