Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 284, Issue -, Pages 27-34Publisher
ELSEVIER
DOI: 10.1016/j.jneumeth.2017.04.008
Keywords
Attention; Attention influence; Motor movement; Global feature space; Brain-computer interface; Movement-related cortical potential
Categories
Funding
- Det Obelske Famaliefond
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Background: Brain-computer interface (BCI) systems in neuro-rehabilitation use brain signals to control external devices. User status such as attention affects BCI performance; thus detecting the user's attention drift due to internal or external factors is essential for high detection accuracy. New method: An auditory oddball task was applied to divert the users' attention during a simple ankle dorsiflexion movement. Electroencephalogram signals were recorded from eighteen channels. Temporal and time-frequency features were projected to a lower dimension space and used to analyze the effect of two attention levels on motor tasks in each participant. Then, a global feature distribution was constructed with the projected time-frequency features of all participants from all channels and applied for attention classification during motor movement execution. Results: Time-frequency features led to significantly better classification results with respect to the temporal features, particularly for electrodes located over the motor cortex. Motor cortex channels had a higher accuracy in comparison to other channels in the global discrimination of attention level. Comparing with existing methods: Previous methods have used the attention to a task to drive external devices, such as the P300 speller. However, here we focus for the first time on the effect of attention drift while performing a motor task. Conclusions: It is possible to explore user's attention variation when performing motor tasks in synchronous BCI systems with time-frequency features. This is the first step towards an adaptive real-time BCI with an integrated function to reveal attention shifts from the motor task. (C) 2017 Elsevier B.V. All rights reserved.
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