Adapting Deep-Learning Audio Models for Abnormal EEG Classification

• Published in: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (Online) pp. 1 - 8
• Main Authors: Zhu, Yixuan, Western, David
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.11.2024
• Subjects: Accuracy; Adaptation models; Audio Models; Benchmark testing; Brain modeling; Data models; Deep Learning; EEG Classification; Electroencephalography; Machine Learning for Healthcare; Solid modeling; Time series analysis; Training data; Translation
• ISSN: 2641-3604
• DOI: 10.1109/BHI62660.2024.10913666

EEG signal analysis and audio processing, though distinct in application, share inherent structural similarities in their data patterns. Recognizing this parallel, our study pioneers the application of two renowned audio processing models, PaSST and LEAF, to the realm of EEG signal classification. I...