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

Effects of zinc and probiotic co-supplementation on inflammation, gastrointestinal symptoms, quality of life, and mood in irritable bowel syndrome patients.

Scientific reports·2026
Same author

Effects of Neck Radiation Therapy on Carotid Arteries in Patients with Head and Neck Carcinoma.

Galen medical journal·2026
Same author

Outcomes after treatment with proton pump inhibitors in patients with ineffective esophageal motility: a systematic review.

Gastroenterology and hepatology from bed to bench·2026
Same author

Deep learning-based diagnostic classification of multiple sclerosis using multicenter optical coherence tomography data.

Experimental eye research·2026
Same author

Investigating the Quality of Life and its Associated Factors in Patients with Colorectal Cancer.

Advanced biomedical research·2026
Same author

Isfahan Artificial Intelligence Event 2024, Challenge I: Respiratory Depression Detection.

Journal of medical signals and sensors·2026
Same journal

Predicting Theta/Alpha Neurofeedback Success through Psychological and Personality Profiles: A Hybrid Approach Using Multilayer Perceptron and Elastic Net Models.

Journal of medical signals and sensors·2026
Same journal

Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data.

Journal of medical signals and sensors·2026
Same journal

Supervised Volumetric Segmentation of White and Gray Matter from Brain Positron Emission Tomography Images Using Magnetic Resonance Labels.

Journal of medical signals and sensors·2026
Same journal

Effective Connectivity-based Unsupervised Channel Selection Method for Electroencephalography.

Journal of medical signals and sensors·2026
Same journal

Enhancement of Digital Mammography Images Using Neutrosophic Divergence Score Based on Intuitionistic Fuzzy Entropy.

Journal of medical signals and sensors·2026
Same journal

Monitoring the Adverse Implications of Coronavirus 2019-induced Pulmonary Complications on Patients' Respiratory Capacity and Physical Abilities with Moderate and Severe Signs during Interval Follow-up.

Journal of medical signals and sensors·2026
See all related articles

Related Experiment Video

Updated: May 15, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K

Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition.

Azra Rasouli Kenari1, Ahmadreza Montazerolghaem2, Zahra Zojaji2

  • 1Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Journal of Medical Signals and Sensors
|April 7, 2025
PubMed
Summary
This summary is machine-generated.

Diagnosing gastroesophageal reflux disease (GERD) using multichannel intraluminal impedance-pH (MII-pH) monitoring is challenging. This study presents a curated dataset and competition results to advance MII data analysis for accurate reflux event detection.

Keywords:
24-h monitoringIsfahan Artificial Intelligence Challengedeep learningmultichannel intraluminal impedancereflux

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.5K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.0K

Related Experiment Videos

Last Updated: May 15, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.5K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.0K

Area of Science:

  • Gastroenterology and Medical Devices
  • Artificial Intelligence in Medicine

Background:

  • Gastroesophageal reflux disease (GERD) affects millions worldwide.
  • Multichannel intraluminal impedance-pH (MII-pH) monitoring is the gold standard for GERD diagnosis.
  • Reliable extraction of reflux events from MII data remains a significant challenge.

Purpose of the Study:

  • To address the challenge of reflux event detection in MII data.
  • To establish a gold standard dataset for MII data analysis.
  • To facilitate advancements in GERD diagnosis through improved MII data interpretation.

Main Methods:

  • Assembled a dataset of 201 MII episodes.
  • Developed precise reflux episode definition criteria.
  • Utilized a competition framework to assess signal-analyzing methodologies.

Main Results:

  • A curated dataset with gold standard labels was created.
  • The first Isfahan Artificial Intelligence Competition included MII data evaluations.
  • Various signal-analyzing methods were formally assessed.

Conclusions:

  • Accurate reflux event characterization is crucial for GERD diagnosis.
  • Collaboration between expert criteria and data analysis is essential.
  • The competition highlighted diverse approaches to MII data analysis.