An Adaptive Motion-Onset VEP-Based Brain-Computer Interface

Motion-onset visual evoked potential (mVEP) has been recently proposed for EEG-based brain-computer interface (BCI) system. It is a scalp potential of visual motion response, and typically composed of three components: P1, N2, and P2. Usually several repetitions are needed to increase the signal-to-...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on autonomous mental development 2015-12, Vol.7 (4), p.349-356
Hauptverfasser:	Zhang, Rui, Xu, Peng, Chen, Rui, Ma, Teng, Lv, Xulin, Li, Fali, Li, Peiyang, Liu, Tiejun, Yao, Dezhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous Band-pass filters Brain-computer interface (BCI) Criteria dynamic stopping Dynamic tests Dynamics Electroencephalography Graphical user interfaces Human-computer interface motion-onset visual evoked potential (mVEP) practical information transfer rate (PITR) Real time Real-time systems Repetition Signal to noise ratio Visual Visualization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!