Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29584
Title: Early labour detection in laboratory and free-living conditions using combined
Authors: Altini, Marco
Rooijakkers, Michiel
Rossetti, Elisa
Penders, Julien
DREESEN, Pauline 
MARIEN, Hanne 
THIJS, Inge 
GYSELAERS, Wilfried 
Issue Date: 2019
Publisher: MOSBY-ELSEVIER
Source: AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 220(1), p. S513-S514 (Art N° 785)
Abstract: Detection and management of complications such as preterm birth, could be improved by early labour detection. In our previous work, we showed that specific patterns in physiological data such as electrohysterography (EHG) and heart rate (HR) could be used to build predictive statistical models able to detect labour. In this work we highlight how physiological data can be discriminative of early term labour recordings when acquired both in laboratory and free-living conditions
Notes: [Altini, Marco; Rooijakkers, Michiel; Rossetti, Elisa] Bloom Technol, Genk, Belgium. [Penders, Julien] Bloomlife, San Francisco, CA USA. [Dreesen, Pauline; Marien, Hanne; Thijs, Inge M.] Fac Med & Life Sci, Mobile Hlth Unit, Hasselt, Belgium. [Gyselaers, Wilfried] Ziekenhuis Oost Limburg, Dept Gynaecol, Genk, Belgium.
Keywords: Obstetrics & Gynecology
Document URI: http://hdl.handle.net/1942/29584
ISSN: 0002-9378
e-ISSN: 1097-6868
DOI: 10.1016/j.ajog.2018.11.808
ISI #: 000454249402263
Category: M
Type: Journal Contribution
Appears in Collections:Research publications

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