Literature DB >> 30835606

Counting fetal movements of small-for-gestational infants using a fetal movement acceleration measurement recorder.

Masayoshi Morita1, Eiji Ryo1, Hideo Kamata1, Michiharu Seto1, Keita Yatsuki1.   

Abstract

Background: Our purpose was to clarify whether small-for-gestational (SGA) infants is associated with a decrease in fetal movements (FMs) even in the absence of hypoxia. We used a fetal movement acceleration measurement (FMAM) recorder, which enabled counting gross FMs for hours at a time.
Methods: (1) Parameters of FMs for 13 women who delivered SGA infants were plotted over normal reference value curves made from 64 normal pregnant women in another study. (2) Linear regression analysis was conducted for the women with SGA infants and the normal pregnant women.
Results: Thirty-eight data recordings were available in the SGA group. (1) For the ratio of movement positive 10-s epoch, 14 recordings (36.8%) were below 10% of the normal values. For an average number of movements, 13 (34.2%) were below 10%. Regarding average number, average duration, and longest duration of non-movement period, 12 (31.6%), 13 (34.2%), and 15 records (39.4%) were above 90% of the normal values, respectively. (2) SGA was a factor that decreased the positive epoch ratio and the average movements number, and increased the average number and duration, and the longest duration of non-movement period.Conclusions: SGA is associated with decreased movements even in the absence of hypoxia.

Entities:  

Keywords:  FMAM recorder; Fetal growth restriction (FGR); SGA; fetal movements; neurodevelopment

Mesh:

Year:  2019        PMID: 30835606     DOI: 10.1080/14767058.2019.1583732

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  2 in total

1.  Accelerations of the Fetal Heart Rate in the Screening for Fetal Growth Restriction at 34-38 Week's Gestation.

Authors:  H J Odendaal; I C Crockart; C Du Plessis; L Brink; C A Groenewald
Journal:  Glob J Pediatr Neonatal Care       Date:  2021-10-30

2.  Passive Fetal Movement Recognition Approaches Using Hyperparameter Tuned LightGBM Model and Bayesian Optimization.

Authors:  Sensong Liang; Jiansheng Peng; Yong Xu; Hemin Ye
Journal:  Comput Intell Neurosci       Date:  2021-12-09
  2 in total

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