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

Doppler Effect - I00:56

Doppler Effect - I

6.1K
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...
6.1K
Doppler Effect - II01:05

Doppler Effect - II

4.4K
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...
4.4K
What are Estimates?01:06

What are Estimates?

8.2K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.2K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

215
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
215
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.4K
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:
2.4K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

36.8K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.8K

You might also read

Related Articles

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

Sort by
Same author

Data Assimilating B-splines for Model-based Regularization in Ultrasound Vector Flow Imaging.

Ultrasound in medicine & biology·2026
Same author

Artificial intelligence for left ventricular strain.

Current opinion in cardiology·2026
Same author

Proof of concept for full-waveform inversion in ultrasound time-harmonic shear-wave elastography.

Physics in medicine and biology·2026
Same author

Inter- and Intrarater Reliability of a Novel Ultrasound Doppler Device (earlybird) for Quantitative Assessment of Peripheral Arterial Flow.

Medical devices (Auckland, N.Z.)·2026
Same author

Dynamic cerebral autoregulation in infants undergoing major non-cardiac surgery.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

The impact of heart rate on echocardiographic measures of left ventricular function: novel insights facilitated by deep learning.

European heart journal. Imaging methods and practice·2026
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.4K

Data-Adaptive 2-D Tracking Doppler for High-Resolution Spectral Estimation.

Yucel Karabiyik, Jorgen Avdal, Ingvild Kinn Ekroll

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 27, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method combining power spectral Capon and 2-D tracking Doppler to significantly reduce spectral broadening in Doppler ultrasound. This improves frequency resolution for both high and low blood flow velocities.

    More Related Videos

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
    07:11

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    3.0K
    Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
    07:59

    Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

    Published on: December 6, 2018

    8.6K

    Related Experiment Videos

    Last Updated: Jan 20, 2026

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
    11:15

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

    Published on: June 27, 2013

    34.4K
    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
    07:11

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    3.0K
    Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
    07:59

    Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

    Published on: December 6, 2018

    8.6K

    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Signal Processing

    Background:

    • Pulsed-wave Doppler spectral broadening, caused by transit-time effects, limits frequency resolution and can overestimate velocities, especially in high-flow or angled scenarios.
    • Existing data-adaptive spectral estimators improve resolution for small ensembles but are ineffective when transit-time effects dominate.

    Purpose of the Study:

    • To develop and evaluate a novel method that combines power spectral Capon and 2-D tracking Doppler for enhanced frequency resolution in Doppler ultrasound.
    • To mitigate spectral broadening caused by transit-time effects across a range of velocities and flow conditions.

    Main Methods:

    • A hybrid approach integrating a data-adaptive spectral estimation method (power spectral Capon) with 2-D tracking Doppler.
    • Time signals are extracted by tracking scatterers in space and time to minimize transit-time effects.
    • The method's efficacy is validated through computer simulations, flow phantom experiments, and in vivo recordings from carotid arteries.

    Main Results:

    • Simulations demonstrated a 60% reduction in spectral width compared to 2-D tracking Doppler at velocities around 2.3 m/s.
    • Flow phantom results showed a 66% spectral width reduction for a mean velocity of 0.85 m/s.
    • In vivo recordings revealed a 5-dB signal-to-noise ratio (SNR) gain compared to Welch's method.

    Conclusions:

    • The proposed method effectively reduces spectral broadening, improving frequency resolution in Doppler ultrasound for both high and low velocities.
    • This technique is particularly beneficial in scenarios with velocity gradients or out-of-plane motion, requiring shorter observation windows.