Comparison Between Discrete and Continuous Motor Imageries: toward a Faster Detection

Sébastien Rimbert (1) , Laurent Bougrain (1)

1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach

Introduction: A large number of Brain-Computer Interfaces (BCIs) are based on the detection of changes in sensorimotor rhythms within the EEG signal [1]. Moreover, motor imagery (MI) modifies the neural activity within the primary sensorimotor areas of the cortex in a similar way to a real movement [2]. In most MI-based BCI experimental paradigms, subjects realize a continuous MI, i.e. one that lasts for a few seconds, with the objective of facilitating the detection of event-related desynchronization (ERD) and event-related synchronization (ERS) [3]. Currently, reducing response time is a major issue in BCI to avoid fatigue and boredom and to improve efficiency. In this regards, a recent article showed that a brief intention of movement corresponding to a 2s-MI, leads to more informative ERS features than continuous motor imageries [4]. Thus, in this study, we are investigating differences between continuous MIs and discrete, i.e. simple short, MIs.

Domaines: Neurosciences

Sébastien Rimbert, Laurent Bougrain. Comparison Between Discrete and Continuous Motor Imageries: toward a Faster Detection. Internation BCI Meeting 2016, May 2016, California, France. ⟨hal-01389948v1⟩