DenseNet-Based Classification of EEG Abnormalities Using Spectrograms
Electroencephalogram (EEG) analysis is essential for diagnosing neurological disorders but typically requires expert interpretation and significant time. Purpose: This study aims to automate the classification of normal and abnormal EEG recordings to support clinical diagnosis and reduce manual work...
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| Principais autores: | , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
MDPI AG
2025-08-01
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| 丛编: | Algorithms |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/1999-4893/18/8/486 |
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