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Quantification and visualisation of differences between two motor tasks based on energy density maps for brain–computer interface applications
OBJECTIVE To determine the most discriminative features for a brain-computer interface (BCI) system based on statistically significant differences between two energy density maps calculated from EEGExpand
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Localisation of cognitive tasks used in EEG-based BCIs
OBJECTIVE To provide candidate electrode sites and neurophysiological reference information for cognitive tasks used in brain-computer interfacing research. METHODS Six cognitive tasks were testedExpand
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A four-class BCI based on motor imagination of the right and the left hand wrist
TLDR
This paper presents a new concept for a four-class Brain Computer Interface (BCI) classifier based on motor imagination of the left and the right hand wrist. Expand
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Feasibility of Using Peroneal Nerve Recordings for Deriving Stimulation Timing in a Foot Drop Correction System
The objective of this research was to demonstrate the potential of using peroneal nerve activity to derive timing control for stimulation in foot drop correction and to attempt recording andExpand
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On-line joint angle estimation based on nerve cuff recordings from muscle afferents
Objective: In order for muscle afferent recordings to be useful as sensory feedback in closedloop FES applications, a reliable feedback signal has to be available. We examined whether an artificialExpand
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A Neural Network Representation of Human Gait
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Conduction velocity effects due to ephaptic interactions between myelinated axons
Electrical ephaptic interactions between axons have the effect of modulating their conduction velocities and adjusting the frequency via synchronisation of action potentials. These interactions haveExpand
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