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 Experiment Videos

Four channel foetal ECG data collection system

J S Curnow1, L B Barron, J Westgate

  • 1Department of Medical Physics and Biomedical Engineering, Plymouth General Hospital, UK.

Medical Engineering & Physics
|March 1, 1995
PubMed
Summary
This summary is machine-generated.

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

Interpretation of umbilical cord gas results in cases of shoulder dystocia.

BJOG : an international journal of obstetrics and gynaecology·2011
Same author

Application of magnetic resonance microscopy to tissue engineering: a polylactide model.

Journal of biomedical materials research·2002
Same author

Early neonatal mortality and timing of low risk births. Data suggest that difficulties in fetal monitoring are magnified at night.

BMJ (Clinical research ed.)·2001
Same author

Absorbable mesh aids in development of discrete, tissue-engineered constructs.

Critical reviews in biomedical engineering·2000
Same author

Receiver operating characteristic analysis for intelligent medical systems--a new approach for finding confidence intervals.

IEEE transactions on bio-medical engineering·2000
Same author

Comparative study of seeding methods for three-dimensional polymeric scaffolds.

Journal of biomedical materials research·2000
Same journal

Development and experimental characterization of a cadaveric stance simulator for residual limb biomechanics.

Medical engineering & physics·2026
Same journal

Rapid personalized computational modeling of the wrist.

Medical engineering & physics·2026
Same journal

SHAP-enabled explainable AI framework for clinical interpretation of valvular heart diseases via digital acoustic features.

Medical engineering & physics·2026
Same journal

Three-dimensional motion analysis of a total wrist prosthesis during the dart-throwing motion: a cadaveric study.

Medical engineering & physics·2026
Same journal

Patient-specific left ventricular hypertrophy under severe hypertension: mechanistic insights from Hill-type computational simulations.

Medical engineering & physics·2026
Same journal

Enabling laboratory-based personalization of musculoskeletal spine models: a standardized rail-guided ultrasound method.

Medical engineering & physics·2026
See all related articles

Developing new methods to diagnose fetal distress during labor is crucial. This study introduces an automated system to collect vital fetal ECG data from multiple deliveries simultaneously, aiding research without increasing staff workload.

Area of Science:

  • Biomedical Engineering
  • Obstetrics and Gynecology
  • Fetal Monitoring

Background:

  • Increased interest in advanced fetal distress diagnosis during labor.
  • Current techniques rely on fetal electrocardiogram (ECG) data from scalp electrodes.
  • Challenges exist in collecting sufficient patient data for system development due to poor predictive accuracy.

Purpose of the Study:

  • To develop and test prototypes for improved fetal distress diagnosis.
  • To address the need for comprehensive recorded patient data.
  • To create a system that automates data collection without increasing clinical staff workload.

Main Methods:

  • Development of an automated data collection system.
  • Simultaneous data acquisition from up to four patient deliveries.

Related Experiment Videos

  • Documentation of fetal ECG data.
  • Main Results:

    • The system automates data collection from multiple deliveries.
    • It does not impose additional workload on clinical staff.
    • Facilitates the collection of necessary data for system development and testing.

    Conclusions:

    • The described system effectively automates the collection of fetal ECG data.
    • This automated approach supports the development of improved fetal distress diagnostic tools.
    • It streamlines data acquisition, crucial for advancing obstetric monitoring technologies.