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Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

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An IoT-Enabled Wearable Device for Fetal Movement Detection Using Accelerometer and Gyroscope Sensors.

Atcharawan Rattanasak¹, Talit Jumphoo², Wongsathon Pathonsuwan²

¹School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

A new wearable device accurately detects fetal movements using sensors and Internet of Things (IoT) technology. This innovation offers a convenient and reliable method for monitoring fetal health outside clinical settings.

Keywords:

fetal movement detection internet of things machine learning wearable device

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Last Updated: May 21, 2025

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Area of Science:

Biomedical Engineering
Maternal-Fetal Medicine
Wearable Technology

Background:

Manual fetal movement counting is crucial for fetal well-being but poses practical challenges for pregnant individuals.
Existing methods for monitoring fetal activity can be inconvenient and limited to clinical environments.

Purpose of the Study:

To develop and evaluate a wearable device for accurate and convenient detection of fetal movements.
To differentiate fetal movements from other physical activities using advanced sensor and machine learning techniques.

Main Methods:

Integration of accelerometer and gyroscope sensors with Internet of Things (IoT) technology in a wearable device.
Evaluation of signal extraction, machine learning algorithms, and feature selection techniques, including Particle Swarm Optimization (PSO) and Extreme Gradient Boosting (XGB).
Data collection from 35 pregnant women at Suranaree University of Technology (SUT) Hospital.

Main Results:

The device achieved high classification performance with 90.00% sensitivity, 87.46% precision, and an 88.56% F1-score.
IoT integration enabled continuous monitoring with low latency (423.6 ms) and ensured data integrity.
The wearable device demonstrated a battery life of up to 48 hours on a single charge.

Conclusions:

The proposed wearable device offers a practical and effective solution for fetal movement detection.
The technology facilitates continuous, remote fetal monitoring, enhancing antenatal care accessibility.
This innovation represents a significant advancement in non-invasive fetal health assessment tools.