A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-temporal Equalizer

2020 ◽  
pp. 87-105
Author(s):  
Chen Yang ◽  
Xiang Li ◽  
Nanlin Shi ◽  
Yijun Wang ◽  
Xiaorong Gao
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Interface System ◽  
Spatio Temporal

A hybrid three-class brain–computer interface system utilizing SSSEPs and transient ERPs

2016 ◽  
Vol 13 (6) ◽  
pp. 066015 ◽  
Author(s):  
Christian Breitwieser ◽  
Christoph Pokorny ◽  
Gernot R Müller-Putz
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Interface System

Practical Artifact Removal Brain-Computer Interface System

2014 ◽  
pp. 265-277
Author(s):  
Wei-Yen Hsu
Keyword(s):  
Support Vector Machine ◽  
Classification Accuracy ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Support Vector ◽  
Artifact Removal ◽  
Eeg Data ◽  
Interface System ◽  
Electroencephalogram Eeg ◽  
Bci System

In this chapter, a practical artifact removal Brain-Computer Interface (BCI) system for single-trial Electroencephalogram (EEG) data is proposed for applications in neuroprosthetics. Independent Component Analysis (ICA) combined with the use of a correlation coefficient is proposed to remove the EOG artifacts automatically, which can further improve classification accuracy. The features are then extracted from wavelet transform data by means of the proposed modified fractal dimension. Finally, Support Vector Machine (SVM) is used for the classification. When compared with the results obtained without using the EOG signal elimination, the proposed BCI system achieves promising results that will be effectively applied in neuroprosthetics.

Sign in / Sign up

Export Citation Format

Share Document