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
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : 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.
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https://hal.inria.fr/hal-01389948
Contributor : Sébastien Rimbert <>
Submitted on : Wednesday, November 2, 2016 - 11:24:22 AM
Last modification on : Tuesday, December 18, 2018 - 4:40:21 PM

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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⟩

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