Literature DB >> 18450390

A long-term monitoring of fetal movement at home using a newly developed sensor: an introduction of maternal micro-arousals evoked by fetal movement during maternal sleep.

Kyoko Nishihara1, Shigeko Horiuchi, Hiromi Eto, Makoto Honda.   

Abstract

BACKGROUND: Pregnant women's sleep disturbance due to fetal movement is well known. Fetal movement is thought to be an index of fetal well-being. However, as there has never been a way to easily and reliably record fetal movement, psychophysiological studies of pregnant women's sleep disturbance and fetal well-being have not been done. AIMS: To solve these methodological issues, we developed a new sensor with electrostatic capacity that can pick up acceleration of fetal movement. METHODS AND
RESULTS: Experiment I: We verified the reliability of our fetal movement recording system. Thirty-two pregnant women (from 19 to 39 weeks of gestation) were asked to lie down on a bed for about 1 h and to press a button as a subjective marker when they felt fetal movement. We simultaneously recorded maternal polysonograms and fetal movement from the mothers' abdomens using a Medilog recorder. The mean of prevalence-adjusted bias-adjusted kappa for agreements, based on time between fetal movement signals recorded and subjective maternal markers, was substantial at 0.75. Experiment II: We recorded seven pregnant women's polysonograms and fetal movement simultaneously during all-night sleep at home using our sensor during weeks 33 and 36 of gestation. We succeeded in recording maternal micro-arousals evoked by fetal movement. The mean value of the number of micro-arousals at 33 weeks was slightly larger than that at 36 weeks.
CONCLUSIONS: There was a high agreement between subjective maternal markers and fetal movement. Our recording system using the new sensor can be used for home monitoring of fetal movement.

Entities:  

Mesh:

Year:  2008        PMID: 18450390     DOI: 10.1016/j.earlhumdev.2008.03.001

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  4 in total

1.  Automated Software Analysis of Fetal Movement Recorded during a Pregnant Woman's Sleep at Home.

Authors:  Kyoko Nishihara; Noboru Ohki; Hideo Kamata; Eiji Ryo; Shigeko Horiuchi
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

2.  Performance of a wearable acoustic system for fetal movement discrimination.

Authors:  Jonathan Lai; Richard Woodward; Yuriy Alexandrov; Qurratul Ain Munnee; Christoph C Lees; Ravi Vaidyanathan; Niamh C Nowlan
Journal:  PLoS One       Date:  2018-05-07       Impact factor: 3.240

3.  Maternal representations in the dreams of pregnant women: a prospective comparative study.

Authors:  Jessica Lara-Carrasco; Valérie Simard; Kadia Saint-Onge; Vickie Lamoureux-Tremblay; Tore Nielsen
Journal:  Front Psychol       Date:  2013-08-27

Review 4.  Fetal movements as a predictor of health.

Authors:  Jonathan Lai; Niamh C Nowlan; Ravi Vaidyanathan; Caroline J Shaw; Christoph C Lees
Journal:  Acta Obstet Gynecol Scand       Date:  2016-09       Impact factor: 3.636

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.