Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Early risk stratification of late-onset sepsis in very preterm infants by intestinal microbiota profiling: a multicenter case-control validation study.

Gut microbes·2026
Same author

Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance.

Epilepsia open·2026
Same author

Longitudinal fecal amino acid profiles in extremely preterm infants: early-life determinants and associations with late-onset sepsis.

Metabolomics : Official journal of the Metabolomic Society·2026
Same author

Future perspectives on the use of molecular assays for pathogen identification in neonatal sepsis: a survey study among members of the European Society for Paediatric Infectious Diseases.

BMJ paediatrics open·2026
Same author

Lifestyle behaviours in children born extremely preterm at 2 years: a comparison to a Dutch reference population.

European journal of pediatrics·2026
Same author

Early empiric antibiotic exposure affects gut microbiota development of very preterm infants.

Pediatric research·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

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

Published on: May 17, 2024

1.6K

A Two-Dimensional Position and Motion Monitoring System for Preterm Infants Using a Fiber-Optic Pressure-Sensitive

Giulia Palladino1,2, Zheng Peng1,2, Deedee Kommers3

  • 1Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

A new plastic fiber-optic mattress (FM) can monitor preterm infant positioning and movement. This technology shows promise for non-obtrusive neonatal care, though further optimization is needed.

Keywords:
fiber-optic mattressmotion monitoringposition monitoringpremature infantssmart mattresstest protocol

More Related Videos

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
11:39

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants

Published on: March 14, 2013

20.6K
Three Dimensional Vestibular Ocular Reflex Testing Using a Six Degrees of Freedom Motion Platform
10:12

Three Dimensional Vestibular Ocular Reflex Testing Using a Six Degrees of Freedom Motion Platform

Published on: May 23, 2013

16.0K

Related Experiment Videos

Last Updated: Sep 11, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

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

Published on: May 17, 2024

1.6K
Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
11:39

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants

Published on: March 14, 2013

20.6K
Three Dimensional Vestibular Ocular Reflex Testing Using a Six Degrees of Freedom Motion Platform
10:12

Three Dimensional Vestibular Ocular Reflex Testing Using a Six Degrees of Freedom Motion Platform

Published on: May 23, 2013

16.0K

Area of Science:

  • Biomedical Engineering
  • Neonatal Monitoring Technology
  • Medical Device Development

Background:

  • Monitoring preterm infants is crucial for their development and well-being.
  • Existing methods may be limited in capturing detailed movement and positioning data.
  • Smart mattress technology offers a potential solution for continuous, non-obtrusive monitoring.

Purpose of the Study:

  • To evaluate the feasibility of a plastic, pressure-sensitive fiber-optic mattress (FM) for analyzing preterm infant movements and positioning.
  • To develop and validate a cost-effective test protocol for preclinical assessment of smart mattress technology.
  • To compare the FM's monitoring capabilities with camera-based annotations in a clinical setting.

Main Methods:

  • Development of a simple, replicable test protocol simulating infant movements and positions.
  • Bench testing to assess sensitivity to motion and pressure changes.
  • Clinical evaluation using data from 20 preterm infants, comparing FM pressure patterns with camera annotations for position and limb movement analysis.

Main Results:

  • Bench tests confirmed the FM's sensitivity to motion and pressure, supporting preclinical validation.
  • Clinical data demonstrated the FM's reliability in identifying infant positions and movement patterns with accuracy comparable to camera annotations.
  • Identified limitations include calibration issues, ambient light sensitivity, and edge artifacts, highlighting areas for future development.

Conclusions:

  • The developed test protocol is effective for early evaluation of smart mattress technologies.
  • The fiber-optic mattress (FM) shows promising clinical feasibility for non-obtrusive monitoring of preterm infants.
  • Further optimization of the FM is necessary for robust application in neonatal intensive care units.