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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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Detalles Bibliográficos
Autores principales: Chen, Lili, Hao, Yaru, Hu, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467380/
https://www.ncbi.nlm.nih.gov/pubmed/30990810
http://dx.doi.org/10.1371/journal.pone.0214712