Article

ASTERI: Image-based representation of EEG signals for motor imagery classification

2022-04-07

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<title>Abstract</title> <p>Purpose Electroencephalography (EEG) signals are valuable in the monitoring and investigation of neurological diseases and in the control of brain-machine interfaces (BCI). However, these signals are noisy and are non-linear and non-stationary in nature. Signal analysis is an expensive task and can lead to misdiagnosis. Deep learning can be used to overcome these challenges. The most u...

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Literature Corpus work: 58cd502a-ddf5-5d2b-be4a-e8f97e34f983
DOI: 10.21203/rs.3.rs-1041386/v1

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