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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals ; volume:14 ; number:1 ; day:1 ; month:6 ; year:2024 ; pages:1-15 ; date:12.2024
Scientific reports ; 14, Heft 1 (1.6.2024), 1-15, 12.2024

Creator: Mendis, Lochana
Palaniswami, Marimuthu
Keenan, Emerson
Brownfoot, Fiona

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-63108-6

URN: urn:nbn:de:101:1-2408092112509.109336205528

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Mendis, Lochana
Palaniswami, Marimuthu
Keenan, Emerson
Brownfoot, Fiona
SpringerLink (Online service)

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

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Other Objects (12)

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Fetal razor

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SFM Fetal Therapy Practice Guidelines: Open Fetal Surgery

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Fetal abdominal circumference rather than fetal femur length/abdominal circumference ratio predicts fetal malnutrition in high risk pregnancies

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Differential responses in placenta and fetal thymus at 12 days post infection elucidate mechanisms of viral level and fetal compromise following PRRSV2 infection

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