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

State-of-the-Art Review: Congenital Syphilis in the Modern Era: Current Strategies and Future Directions.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same author

Intravenous immunoglobulin (IVIG) therapy in pregnancies complicated by acute Parvovirus B19 infection in the second trimester: a case series.

Case reports in perinatal medicine·2025
Same author

Acute glycogenic hepatopathy in pregnancy: a case report and literature review.

Case reports in perinatal medicine·2025
Same author

Antepartum multidisciplinary approach improves postpartum pain scores in patients with opioid use disorder.

Journal of perinatal medicine·2025
Same author

Using the PROMOTE Screener to Identify Psychosocial Risk Factors for Prenatal Substance Use.

Journal of addiction medicine·2025
Same author

Vaginal matrix metalloproteinase-9 (MMP-9) as a potential early predictor of preterm birth.

Journal of perinatal medicine·2024
Same journal

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2026
Same journal

EARLY DETECTION OF COGNITIVE DECLINE USING VOICE ASSISTANT COMMANDS.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2025
Same journal

CROSS-DOMAIN DIFFUSION BASED SPEECH ENHANCEMENT FOR VERY NOISY SPEECH.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2025
Same journal

CROSS-DOMAIN SPEECH ENHANCEMENT WITH A NEURAL CASCADE ARCHITECTURE.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2025
Same journal

ESTIMATING DIRECTED SPECTRAL INFORMATION FLOW BETWEEN MULTI-RESOLUTION TIME SERIES.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2025
Same journal

NEURAL CASCADE ARCHITECTURE FOR JOINT ACOUSTIC ECHO AND NOISE SUPPRESSION.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)·2025
See all related articles

Related Experiment Video

Updated: Aug 30, 2025

Automated Contraction Analysis of Human Engineered Heart Tissue for Cardiac Drug Safety Screening
10:39

Automated Contraction Analysis of Human Engineered Heart Tissue for Cardiac Drug Safety Screening

Published on: April 15, 2017

12.9K

UNSUPERVISED CLUSTERING AND ANALYSIS OF CONTRACTION-DEPENDENT FETAL HEART RATE SEGMENTS.

Liu Yang1, Cassandra Heiselman2, J Gerald Quirk2

  • 1Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA 11794-2350.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|August 29, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an unsupervised method for analyzing fetal heart rate (FHR) and uterine contraction (UC) patterns. It offers a novel trajectory-based interpretation for cardiotocography (CTG) recordings, improving fetal state prediction.

Keywords:
cardiotocographytrajectory of contraction-dependent fetal heart rate segmentsunsupervised clustering

More Related Videos

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.4K

Related Experiment Videos

Last Updated: Aug 30, 2025

Automated Contraction Analysis of Human Engineered Heart Tissue for Cardiac Drug Safety Screening
10:39

Automated Contraction Analysis of Human Engineered Heart Tissue for Cardiac Drug Safety Screening

Published on: April 15, 2017

12.9K
Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.4K

Area of Science:

  • Medical Informatics
  • Signal Processing
  • Fetal Monitoring

Background:

  • Computer-aided interpretation of fetal heart rate (FHR) and uterine contraction (UC) is crucial for delivery room monitoring but faces challenges.
  • Lack of standardized labels and difficulties in timely fetal state prediction hinder current cardiotocography (CTG) analysis.

Purpose of the Study:

  • To develop an unsupervised method for understanding UC-dependent FHR responses.
  • To provide a complete method for FHR-UC segment clustering and analysis.
  • To propose a novel trajectory-based interpretation for FHR signals.

Main Methods:

  • Utilized Gaussian process latent variable models and density-based spatial clustering for FHR-UC segment analysis.
  • Mapped UC-dependent FHR segments into a visually interpretable space.
  • Defined three metrics for FHR trajectory analysis.

Main Results:

  • Successfully clustered and analyzed FHR-UC segments in an unsupervised manner.
  • Developed a novel method for interpreting FHR trajectories based on UC.
  • Demonstrated the method's efficacy using an open-access CTG database.

Conclusions:

  • The proposed unsupervised, trajectory-based approach offers a promising alternative to traditional supervised methods for FHR interpretation.
  • This method enhances the understanding of FHR-UC dynamics, potentially improving fetal monitoring accuracy.
  • The developed techniques provide a foundation for more robust computer-aided interpretation of CTG recordings.