Analysis of Methodologies for Fetal Movement Measurement and Monitoring Technology

Expecting parents often face anxiety and uncertainty regarding their baby's well-being during pregnancy. One crucial indicator of fetal health is regular movement. Traditionally, monitoring fetal movements involves counting kicks manually, which can be inconsistent and prone to human error. Fetal monitoring is a critical aspect of prenatal care, aimed at ensuring the health and well-being of the unborn baby. Traditional methods of monitoring fetal movements, such as manual counting of kicks, are prone to inaccuracies and can cause anxiety for expecting parents. This paper analysis wearable fetal movements count methodologies for monitoring fetal activity. The real-time monitoring of fetal movements, utilizing advanced sensors and algorithms to accurately detect and count kicks. The devices are equipped with an alert system that notifies users of significant decreases in fetal movements, prompting timely medical consultation if necessary. These devices provide continuous, real-time movement tracking, offering precise data logging and analysis of fetal activity patterns. Additionally, imaging techniques such as 3D ultrasound and MRI contribute to detailed visualization of fetal development. Despite these advancements, challenges remain, such as the limited availability of devices in low-resource settings and the need for standardized protocols. Enhancing maternal education, improving sensor accuracy, and establishing uniform guidelines may help overcome these barriers, advancing prenatal care and fetal health monitoring.

Authors

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icscna63714.2024.10864237
Citations
1
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Methodologies for Fetal Movement Measurement and Monitoring Technology

A Murugesan, K Meenatchi, P J Ragu, P Femina Banu et al.
1 citations
Neonatal and fetal brain pathology
1.11
article

Analysis of Methodologies for Fetal Movement Measurement and Monitoring Technology

A Murugesan, K Meenatchi, P J Ragu, P Femina Banu, S Dhivya, R Vanmathi
article en
1 citations

Abstract

Expecting parents often face anxiety and uncertainty regarding their baby's well-being during pregnancy. One crucial indicator of fetal health is regular movement. Traditionally, monitoring fetal movements involves counting kicks manually, which can be inconsistent and prone to human error. Fetal monitoring is a critical aspect of prenatal care, aimed at ensuring the health and well-being of the unborn baby. Traditional methods of monitoring fetal movements, such as manual counting of kicks, are prone to inaccuracies and can cause anxiety for expecting parents. This paper analysis wearable fetal movements count methodologies for monitoring fetal activity. The real-time monitoring of fetal movements, utilizing advanced sensors and algorithms to accurately detect and count kicks. The devices are equipped with an alert system that notifies users of significant decreases in fetal movements, prompting timely medical consultation if necessary. These devices provide continuous, real-time movement tracking, offering precise data logging and analysis of fetal activity patterns. Additionally, imaging techniques such as 3D ultrasound and MRI contribute to detailed visualization of fetal development. Despite these advancements, challenges remain, such as the limited availability of devices in low-resource settings and the need for standardized protocols. Enhancing maternal education, improving sensor accuracy, and establishing uniform guidelines may help overcome these barriers, advancing prenatal care and fetal health monitoring.

Gender equality
Openalex Percentile: Top 15%
Neonatal and fetal brain pathology
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of Methodologies for Fetal Movement Measurement and Monitoring Technology — A Murugesan, K Meenatchi, et al. · (2024) | TGRS Research Map | TGRS