End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising

Fotiadou, Eleni; Konopczynski, Tomasz; Hesser, Jürgen; Vullings, Rik

doi:10.1088/1361-6579/ab69b9

Record: found
Abstract: not found
Article: not found

End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising

Author(s): Eleni Fotiadou , Tomasz Konopczyński , Jürgen Hesser , Rik Vullings

Publication date Created: January 01 2020

Publication date (Electronic): February 05 2020

Journal: Physiological Measurement

Publisher: IOP Publishing

Read this article at

ScienceOpenPublisher PubMed

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Contributors

Eleni Fotiadou: (View ORCID Profile)

Jürgen Hesser: (View ORCID Profile)

Journal

Title: Physiological Measurement

Abbreviated Title: Physiol. Meas.

Publisher: IOP Publishing

ISSN (Electronic): 1361-6579

Publication date Created: January 01 2020

Publication date (Electronic): February 05 2020

Volume: 41

Issue: 1

Page: 015005

Article

DOI: 10.1088/1361-6579/ab69b9

PubMed ID: 31918422

SO-VID: fc123336-bab3-46d6-82c5-88e33d7df25f

License:

http://iopscience.iop.org/info/page/text-and-data-mining

http://iopscience.iop.org/page/copyright

History

Data availability:

End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising

Read this article at

Related collections

UCL: UN SDG 01 No Poverty

Author and article information

Contributors

Journal

Article

History

Comments

Comment on this article

Similar content 1,912

Cited by 8