Journal article

Automatic fetal movement recognition from multi-channel accelerometry data

Mostefa Mesbah, Mohamed S Khlif, Siamak Layeghy, Christine E East, Shiying Dong, Amy Brodtmann, Paul B Colditz, Boualem Boashash

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | ELSEVIER IRELAND LTD | Published : 2021

Abstract

BACKGROUND AND OBJECTIVE: Significant health care resources are allocated to monitoring high risk pregnancies to minimize growth compromise, reduce morbidity and prevent stillbirth. Fetal movement has been recognized as an important indicator of fetal health. Studies have shown that 25% of pregnancies with decreased fetal movement in the third trimester led to poor outcomes at birth. The studies have also shown that maternal perception of fetal movement is highly subjective and varies from person to person. A non-invasive system for fetal movement detection that can be used outside hospital would represent an advance in at-home monitoring of at-risk pregnancies. This is a challenging task th..

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University of Melbourne Researchers