Clinical Research

Analysis of Biometric Information from Mothers Using Deep Learning Algorithm

Background

The occurrence of babies being born prematurely or being stillborn before birth is a highly complex condition, and not all aspects of it have been clarified. While factors such as the mother’s age, sexually transmitted infections, and genetic abnormalities in the baby have been pointed out as causes, many cases remain unexplained.

Premature birth is a growing concern in our country due to social changes such as the aging of maternal age. Stillbirths, too, are a significant social issue, as the number of babies dying after 22 weeks of pregnancy exceeds the total number of deaths in children under five years old.

Overview of the Research

This study analyzes the correlation between easily obtainable biometric information from mothers and the biometric signals emitted by babies in the womb, using deep learning.

This research is crucial for obtaining more objective information about the baby in the womb, which has been considered a black box until now.

About the Research Results

The results of this research will be presented in academic conferences and papers, and the findings will also be disclosed on this page.

Inquiries

If participants in this study have any questions, please contact us using the form provided in the consent document.

Please note that we are unable to respond to inquiries about this clinical research through the ‘Contact Us’ page of this website due to privacy protection considerations. We ask for your understanding in this matter.

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