Publication

Application of the Evidence Framework to Brain-Computer Interfaces

Related publications (66)

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.

Application of the Evidence Framework to Brain-Computer Interfaces

Graph Chatbot

Chat with Graph Search

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

Predictors of real-time fMRI neurofeedback performance and improvement-A machine learning mega-analysis

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

An EEG-based brain-computer interface for gait training

Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes

An EEG-based brain-computer interface for gait training

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Predictors of real-time fMRI neurofeedback performance and improvement-A machine learning mega-analysis

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks