Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder.

Based on electrohysterogram, this paper designed a new method using wavelet-based nonlinear features and stacked sparse autoencoder for preterm birth detection. For each sample, three level wavelet decomposition of a time series was performed. Approximation coefficients at level 3 and detail coeffic...

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Bibliographic Details
Main Authors: Lili Chen, Yaru Hao, Xue Hu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0214712