Tracking Limb Movement in Preterm Infants Using an Inertial Measurement Bracelet

Imran Kalhoro , Leonora Blodgett , Roozbeh Jafari

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference +

|

December 3, 2025

View abstract on PubMed

Summary

We developed LIMBIT, a wireless wearable device for monitoring preterm infants' limb movements in the NICU. This technology enables continuous neurological assessment, potentially improving early detection of complications and long-term outcomes.

Area Of Science

Biomedical Engineering
Neonatal Medicine
Neuroscience

Background

Preterm infants require continuous monitoring in Neonatal Intensive Care Units (NICUs).
Current monitoring focuses on cardiac and respiratory signals, often neglecting neurological assessment despite high risks.
Neurological sequelae, including motor and cognitive disorders, are common in preterm infants.

Purpose Of The Study

To design and implement a wireless wearable device for quantifying limb movements in preterm infants.
To enable continuous, non-invasive neurological monitoring in the NICU setting.
To explore movement as a physiological vital sign for improved infant care.

Main Methods

Development of the Limb Inertial Measurement Bracelet for Infant Tracking (LIMBIT), a flexible, lightweight bracelet.
Utilizing an inertial measurement unit (IMU) to record 3D acceleration and angular velocity.
Implementing an ultra-low power embedded system with power-saving algorithms for extended battery life (several days).

Main Results

Demonstrated feasibility of accurate, longitudinal, and continuous limb movement recordings in the NICU.
LIMBITs are safe, non-invasive, and integrate seamlessly with existing NICU monitoring.
Movement data can be synchronized with other routinely collected health signals.

Conclusions

LIMBIT offers a novel approach to neurological monitoring in preterm infants.
Movement quantification may serve as a physiological vital sign for early detection of adverse events.
This technology has the potential to improve motor and cognitive outcomes in preterm infants.