- 期刊
A Link between the Increase in Electroencephalographic Coherence and Performance Improvement in Operating a Brain-Computer Interface
延伸閱讀
- Naseer, N., Qureshi, N. K., Noori, F. M., & Hong, K. S. (2016). Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface. Computational Intelligence and Neuroscience, 2016(), 1141-1151-096. https://doi.org/10.1155/2016/5480760
- 黃俊偉（2013）。Comparison of methods for Asynchronous Brain-Computer Interfaces and Development of a Real-Time Brain-Controlled Switch〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201300949
- 高永樺（2013）。Analysis of Emotional EEG and Development of Brain-Computer Interface〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201300950
- Chen, Y. Y. (2011). Unsupervised On-line Learning System of Motion-related Brain Computer Interface Based on Electroencephalography (EEG) [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.10708
- Menendez, R. G. D. P., Noirhomme, Q., Cincotti, F., Mattia, D., Aloise, F., & Andino, S. G. (2007). Modern Electrophysiological Methods for Brain-Computer Interfaces. Computational Intelligence and Neuroscience, 2007(), 211-218. https://doi.org/10.1155/2007/56986