Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks
<b>Background:</b> Transforming one-dimensional (1D) biomedical signals into two-dimensional (2D) images enables the application of convolutional neural networks (CNNs) for classification tasks. In this study, we investigated the effectiveness of different 1D-to-2D transformation methods to classify...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-01-01
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| シリーズ: | BioMedInformatics |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2673-7426/5/1/7 |
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