Related Experiment Video

Updated: Apr 30, 2026

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

4.5K

A Robust Artificial Intelligence Method for Detecting Near-Non-Reactive Non-Stress Test Patterns: What Should We

Haitian Chen1, Caixia Zhu1, Zhuyu Li1

  • 1Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou 510080, China.

Maternal-Fetal Medicine (Wolters Kluwer Health, Inc.)
|April 29, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artificial intelligenceFetal heart rateNon-stress test

More Related Videos

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

2.5K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.0K

Related Concept Videos

Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.1K