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Evaluation of fetal exposure to environmental noise using a computer-generated model
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Evaluation of fetal exposure to environmental noise using a computer-generated model
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Journal Article
Evaluation of fetal exposure to environmental noise using a computer-generated model
2025
Overview
Acoustic noise can have profound effects on wellbeing, impacting the health of pregnant women and their fetus. Mounting evidence suggests neural memory traces are formed by auditory learning in utero. A better understanding of the fetal auditory environment is therefore critical to avoid exposure to damaging noise levels. Using anatomical data from MRI scans of pregnant patients (
N
=
4
) from 24 weeks of gestation, we develop a computational model to quantify fetal exposure to acoustic field. We obtain acoustic transfer characteristics across the human audio range and pressure maps in transverse planes passing through the uterus at 5 kHz, 10 kHz and 20 kHz, showcasing multiple scattering and modal patterns. Our calculations show that the sound transmitted in utero is attenuated by as little as 6 dB below 1 kHz, confirming results from animal studies that the maternal abdomen and pelvis do not shelter the fetus from external noise.
There are limited in vitro and in vivo models to study human fetal exposure to environmental noise. Here, the authors develop a computational model to quantify fetal exposure to acoustic fields, obtaining acoustic transfer characteristics across the human audio range.
