Neurocartographer: CC-WGAN Based SSVEP Data Generation to Produce a Model toward Symmetrical Behaviour to the Human Brain

نویسندگان

چکیده

Brain–computer interfaces are an emerging field of medical technology that enable users to control external digital devices via brain activity. Steady-state evoked potential is a type electroencephalogram signal widely used for brain–computer interface applications. Collecting data effort-intensive task requires technical expertise, specialised equipment, and ethical considerations. This work proposes class-conditioned Wasserstein generative adversarial network with gradient penalty loss generation. Electroencephalogram were recorded g.tec HiAmp using 5, 6, 7.5, 10 Hz flashing video stimuli. The resulting model replicates the key steady-state-evoked features after training 100 epochs 25 batches 4 s data. creates mimics activity, producing symmetry between brain’s visual reaction frequency-based stimuli as measured by output.

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ژورنال

عنوان ژورنال: Symmetry

سال: 2022

ISSN: ['0865-4824', '2226-1877']

DOI: https://doi.org/10.3390/sym14081600