Publication

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

Related publications (42)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

Graph Chatbot

Chat with Graph Search

Error-Related EEG Potentials Generated during Simulated Brain-Computer Interaction

Error-related EEG potentials in brain-computer interfaces

Error-related EEG potentials in brain-computer interfaces

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces

EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection

Development of Two Heliodon Systems and Recommendations for their Use

Human-Brain Interface: Signal Processing and Machine Learning

You Are Wrong!---Automatic Detection of Interaction Errors from Brain Waves

On the Need for On-Line Learning in Brain-Computer Interfaces

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces

Error-related EEG potentials in brain-computer interfaces

Error-related EEG potentials in brain-computer interfaces

You Are Wrong!---Automatic Detection of Interaction Errors from Brain Waves

Error-Related EEG Potentials Generated during Simulated Brain-Computer Interaction

EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces

Development of Two Heliodon Systems and Recommendations for their Use

Human-Brain Interface: Signal Processing and Machine Learning

On the Need for On-Line Learning in Brain-Computer Interfaces