Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals.

4 , the TPRs at 5%, 10%, 15% and 20% FPR show an increasing trend with the increase of the percentage of signal loss allowed in the FHR.

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Furthermore, the mean TPR performance of MCNN showed a decreasing trend when we reduced the training segment length from 60 mins to the first 45 and first 30 mins.

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