Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis
Source abstract
Abstract
Brain–computer interfaces (BCI) have emerged as a groundbreaking and transformative technology enabling communication between humans and computers through neural systems, primarily electroencephalography (EEG) [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Neural dynamics and brain function
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
Institute of Cognitive Sciences and Technologies (ISTC), National Research Council (CNR), San Martino della Battaglia 44, 00185 Roma, Italy
References (6)
Show source-provided references
1. Vergara-Sánchez, D.L., Calvo, H., and Moreno-Armendáriz, M.A. (2023). Distributional Representation of Cyclic Alternating Patterns for A-Phase Classification in Sleep EEG. Appl. Sci., 13.10.3390/app131810299 ↗
2. Machida, K., Nambu, I., and Wada, Y. (2023). Transposed Convolution as Alternative Preprocessor for Brain-Computer Interface Using Electroencephalogram. Appl. Sci., 13.10.3390/app13063578 ↗
3. Zheng, Y., Luo, Y., Shao, H., Zhang, L., and Li, L. (2023). DABaCLT: A Data Augmentation Bias-Aware Contrastive Learning Framework for Time Series Representation. Appl. Sci., 13.10.3390/app13137908 ↗
4. Kim, H.G., Jeong, D.K., and Kim, J.Y. (2022). Emotional Stress Recognition Using Electroencephalogram Signals Based on a Three-Dimensional Convolutional Gated Self-Attention Deep Neural Network. Appl. Sci., 12.10.3390/app122111162 ↗
5. Abdulrahman, A., Baykara, M., and Alakus, T.B. (2022). A novel approach for emotion recognition based on EEG signal using deep learning. Appl. Sci., 12.10.3390/app121910028 ↗
6. Saminu, S., Xu, G., Shuai, Z., Kader, I.A.E., Jabire, A.H., Ahmed, Y.K., Karaye, I.A., and Ahmad, I.S. (2022). Application of Deep Learning and WT-SST in Localization of Epileptogenic Zone Using Epileptic EEG Signals. Appl. Sci., 12.10.3390/app12104879 ↗