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Lochana Mendis

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Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review

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By Marimuthu Palaniswami, Fiona Brownfoot, Lochana Mendis, Emerson Keenan
| MDPI
9. Automated Fetal Compromise Classification Methods The development of automated fetal compromise classification approaches began with classical feature-based machine learning methods [,] and later evolved to modern deep learning methods [,]. Classical methods use additional steps like feature extraction and selection to identify the most relevant features from the raw CTG signals, while modern deep learning methods work directly on the raw CTG signals.
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