Ensemble feature extraction-based prediction of fetal arrhythmia using cardiotocographic signals
The classification of Cardiotocography (CTG) signal abnormalities is critical in the identification of fetal anomalies. The non-stationary nature of CTG, as well as the dataset asymmetry, make this classification task complicated. Manual CTG analysis interpretation can easily result in a low diagnos...
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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: |
Elsevier
2023-02-01
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| シリーズ: | Measurement: Sensors |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2665917422002653 |
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