Low channel count montages using sensor tying for VEP-based BCI.

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ID: 33705
2019
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Abstract
Brain Computer Interfaces (BCIs) are slowly making their appearance on the consumer market, accompanied by a higher popularity among the general public. This new group of users requires easy-to-use headsets with robustness to non-precise placement. In this paper, an optimized fixed montage EEG headset for VEP BCIs is proposed.The proposed layout covers only the most relevant area with large sensors to account for slight misplacement. To obtain large sensors, without having them physically available, we tie multiple sensors together and simulate the effect by averaging the signal of multiple sensors.In simulations based on recorded 256-channel EEG data, it is shown that a circular center-surround configuration with sensor tying, leading to only 8 channels covering a large part of the occipital lobe, can provide high performance and good robustness to misplacement. Automatically optimized layouts were unable to achieve better performance, demonstrating the utility of this manual design. Finally, the performance and benefits of sensor tying in the manual design are then validated in a physical experiment.The resulting proposed layout fulfills most requirements of an easy to use consumer EEG headset.
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ahmadi2019lowjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ahmadi, Sara;Borhanazad, Marzieh;Tump, Danielle;Farquhar, Jason;Desain, Peter;
Journal journal of neural engineering
Year 2019
DOI
10.1088/1741-2552/ab4057
URL
Keywords Keywords not found

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