Article

Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification

2024-10-25

Abstract excerpt

Brain-Computer Interfaces (BCIs) are essential in advancing medical diagnosis and treatment by providing non-invasive tools to assess neurological states. Among these, Motor Imagery (MI), where patients mentally simulate motor tasks without physical movement, has proven to be an effective paradigm for diagnosing and monitoring neurological conditions. Electroencephalography (EEG) is widely used for MI data collect...

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Literature Corpus work: 55f4820d-97a9-5de0-942e-333746962a90
DOI: 10.20944/preprints202410.1920.v1

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