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Related Concept Videos

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

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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:
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Doppler Effect - II01:05

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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...
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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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...
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Related Experiment Video

Updated: Dec 13, 2025

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
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Stable Automatic Envelope Estimation for Noisy Doppler Ultrasound.

Jack Latham, Yulia Hicks, Xin Yang

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 4, 2020
    PubMed
    Summary

    A new Doppler ultrasound method improves blood flow envelope estimation in noisy conditions. This advancement enhances accuracy for clinical and research applications, particularly in cardiac cycle analysis.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Ultrasound Technology

    Background:

    • Doppler ultrasound is crucial for measuring blood flow in cardiovascular applications.
    • Current methods for extracting maximum velocity envelopes struggle with high noise levels, limiting clinical utility.
    • Unstable envelope estimation hinders accurate blood flow analysis.

    Purpose of the Study:

    • To introduce a novel automatic method for estimating Doppler ultrasound envelopes robustly.
    • To enhance the accuracy and stability of blood flow envelope extraction, especially in noisy environments.
    • To improve beat segmentation for more reliable cardiac cycle analysis.

    Main Methods:

    • Developed an automatic envelope estimation technique using Doppler spectrogram images derived from audio signals.
    • Implemented a new beat segmentation algorithm for improved cardiac cycle analysis.
    • Validated the methods using simulated flow, flow phantoms, and in vivo human data.

    Main Results:

    • The proposed method demonstrated superior accuracy in noisy conditions (SNR < 10 dB) compared to state-of-the-art techniques.
    • Achieved lower bias (0.7%) and standard deviation (3.3%) on phantom data compared to the next-best method.
    • The combined methods improved beat segmentation accuracy by 8.2% on in vivo data.

    Conclusions:

    • The novel Doppler ultrasound envelope estimation and beat segmentation methods offer improved performance, especially in challenging, noisy signals.
    • These advancements enhance the reliability of blood flow measurements and cardiac cycle timing indices.
    • The device-independent approach holds significant potential for research and clinical monitoring applications.