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arXiv research

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1 result for “cardiotocography”

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomescs.LG

Novel CTG analysis splits signals into balanced windows and uses 1DCNN for automatic feature extraction.

problem Inter- and intra-variability in CTG interpretation, low positive predictive value.

method Split CTG time-series into balanced windows, extract features using 1DCNN and MLP ensemble.

result Normalizes class distributions, reduces reliance on manual feature selection.

cardiotocography machine learning convolutional neural networks feature extraction abnormal birth outcomes

2019-08-06abs ↗pdf ↗