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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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-08-01
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| Serija: | Algorithms |
| Teme: | |
| Online dostop: | https://www.mdpi.com/1999-4893/18/8/486 |
| Oznake: |
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