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

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.3K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
2.3K
Doppler Effect - II01:05

Doppler Effect - II

4.3K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
4.3K
Doppler Effect - I00:56

Doppler Effect - I

6.0K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
6.0K
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

1.2K
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
1.2K
Pulse Assessment Sites01:11

Pulse Assessment Sites

2.4K
Pulse assessment sites are crucial in evaluating a patient's cardiovascular health. By assessing the pulsations of arteries at specific anatomical locations, healthcare professionals can gather valuable information about blood flow, heart rate, and peripheral circulation. Understanding these pulse assessment sites is essential for conducting comprehensive cardiovascular evaluations and monitoring patients' overall health. These sites are strategically chosen due to the accessibility and...
2.4K
Pulse Oximetry01:24

Pulse Oximetry

1.2K
Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Smartphone-based support for early childhood development in a rural low-resource setting: an individually randomised pilot feasibility trial from Guatemala.

BMJ paediatrics open·2026
Same author

Smartphone Keystroke Biomarkers as Predictors of Adverse Neuropsychiatric Sequelae After Trauma in Trauma Survivors: Prospective Observational Cohort Study.

Journal of medical Internet research·2026
Same author

Understanding implementation of HEARTS for hypertension and diabetes in Guatemala: Qualitative and mixed-methods pilot results.

medRxiv : the preprint server for health sciences·2026
Same author

Modeling Growth Trajectories in Stunted Children Under 5 Years of Age: A Retrospective Analysis of Clinical Data from Guatemala.

Food and nutrition bulletin·2026
Same author

Prevalence and distribution of high-risk HPV genotypes in Indigenous Maya women in Guatemala.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2025
Same author

A Mobile Health Approach for Monitoring Hypertensive and Mental Health Conditions to Avoid Preventable Delays in Postpartum Care.

medRxiv : the preprint server for health sciences·2025
Same journal

Machine learning models enhance detection of arrhythmogenic right ventricular cardiomyopathy.

Machine learning. Health·2026
Same journal

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Machine learning. Health·2026
Same journal

'See' through the surface: surface-derived three-dimensional AI-driven real-time imaging solution for intra-treatment image guidance.

Machine Learning. Health·2026
Same journal

TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios.

Machine Learning. Health·2026
Same journal

Detecting cognitive impairment and psychological well-being among older adults.

Machine learning. Health·2026
Same journal

Artificial intelligence (AI)-based multi-organ contour quality assurance with uncertainty estimation for online adaptive radiotherapy (oART).

Machine Learning. Health·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K

Real-time quality feedback on Doppler data for community midwives using edge-AI.

Mohsen Motie-Shirazi1, Sepideh Nikookar1, Mohammad Ahmad1

  • 1Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.

Machine Learning. Health
|November 20, 2025
PubMed
Summary
This summary is machine-generated.

This study developed an AI-powered system for real-time fetal Doppler data quality assessment, improving maternal health monitoring in low-resource settings. The edge-AI solution provides immediate feedback, enhancing data accuracy for detecting fetal conditions.

Keywords:
Doppler ultrasoundedge computingfetal health monitoringlow-resource settingsmHealthmachine learningsignal quality

More Related Videos

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
08:08

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

1.4K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.3K

Related Experiment Videos

Last Updated: Jan 10, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K
Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
08:08

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

1.4K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.3K

Area of Science:

  • Medical Technology
  • Artificial Intelligence
  • Global Health

Background:

  • Fetal Doppler monitoring is crucial for maternal and fetal health, especially in low-resource settings.
  • Accurate fetal Doppler data is essential for timely diagnosis of pregnancy-related conditions.
  • Existing data collection methods can be limited by signal quality and lack of real-time feedback.

Purpose of the Study:

  • To develop and validate a technical framework for real-time fetal Doppler data quality assessment using deep learning and edge-AI.
  • To integrate this framework into a low-cost, edge-computing system for use in rural, low-resource environments.
  • To improve the accuracy and reliability of fetal cardiac signal acquisition for clinical decision support.

Main Methods:

  • A deep neural network was trained on segmented fetal Doppler recordings (3.75s intervals) categorized into five quality levels.
  • The model was trained and validated using a dataset from rural Guatemala and tested on a dataset from Leipzig, Germany.
  • The algorithm was implemented within an Android mHealth application for real-time feedback during signal acquisition.

Main Results:

  • The deep neural network achieved high performance, with a micro F1-score of 97.4% and macro F1-score of 94.2% on the Guatemala dataset.
  • The model demonstrated generalization capabilities, achieving a 93.3% F1-score for 'Good' quality segments on the Leipzig dataset.
  • Real-time feedback during signal acquisition significantly improved data quality at the source.

Conclusions:

  • The developed edge mHealth solution provides a scalable and effective method for real-time fetal Doppler data quality assessment.
  • This technology has the potential to significantly enhance maternal and fetal health monitoring in the Global South.
  • The integration of mobile technology, AI, and healthcare offers a promising approach to addressing global health challenges.