Jove
Visualize
Contact Us

Related Concept Videos

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.1K
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:
2.1K
Special considerations while measuring blood pressure01:28

Special considerations while measuring blood pressure

1.0K
When assessing blood pressure (BP), healthcare professionals must consider various factors and potential unexpected outcomes to ensure accurate readings and provide proper patient care. Adhering to these guidelines is essential to achieving the most reliable results.
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
1.0K
Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

1.3K
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
1.3K
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

2.8K
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
2.8K
Sites for measruring blood pressure01:21

Sites for measruring blood pressure

3.0K
Blood pressure measurement is a fundamental clinical procedure, providing crucial data for assessing cardiovascular health. Among the various sites for this measurement, the brachial and popliteal arteries are predominantly utilized due to their accessibility and the reliability of their readings. This lesson delves into the anatomical significance, methodology, and considerations of measuring blood pressure at these locations.
The Brachial Artery: Primary Site for Blood Pressure Measurement
3.0K
Measurement of Blood Pressure01:17

Measurement of Blood Pressure

2.3K
Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Reliability and reproducibility of piezoelectric-derived local brachial pulse wave velocity measurement and pressure normalization.

Biomedical physics & engineering express·2026
Same author

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training.

Neuroinformatics·2026
Same author

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026
Same author

An Image-Free Ultrasound-Based Approach for Combined Assessment of Local and Regional Arterial Stiffness in Humans.

Journal of visualized experiments : JoVE·2026
Same author

Deep Learning-Based Cardiac Output Estimation Using Multimodal Physiological Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Unobtrusive Heart Rate Variability Monitoring with a Chair-Based Strain Gauge Ballistocardiography in Office and Home Settings.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
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 Experiment Video

Updated: Dec 6, 2025

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
06:08

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging

Published on: February 7, 2014

17.5K

Cuffless Blood Pressure Estimation Using Features Extracted from Carotid Dual-Diameter Waveforms.

Prashanth Ramakrishna, Nabeel P M, Raj Kiran V

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary

    This study identifies key features from carotid waveforms for cuffless blood pressure estimation using machine learning. It highlights features with high predictive power for robust blood pressure monitoring.

    More Related Videos

    Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness
    05:51

    Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness

    Published on: May 3, 2018

    18.2K
    Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
    09:32

    Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

    Published on: January 20, 2023

    3.8K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

    Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
    06:08

    Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging

    Published on: February 7, 2014

    17.5K
    Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness
    05:51

    Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness

    Published on: May 3, 2018

    18.2K
    Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
    09:32

    Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

    Published on: January 20, 2023

    3.8K

    Area of Science:

    • Biomedical Engineering
    • Machine Learning
    • Cardiovascular Physiology

    Background:

    • Cuffless blood pressure estimation using deep learning faces challenges in selecting representative pulse waveforms and extracting relevant features.
    • Accurate and non-invasive blood pressure monitoring is crucial for managing cardiovascular health.

    Purpose of the Study:

    • To analyze a novel dataset of carotid dual-diameter waveforms and identify features critical for machine learning-based blood pressure estimation.
    • To determine features with high predictive power and those suitable for pruning in blood pressure models.
    • To enhance the robustness of machine learning models for blood pressure estimation across diverse populations and clinical settings.

    Main Methods:

    • Analysis of a novel dataset comprising 71 features from carotid dual-diameter waveforms and 4 blood pressure parameters.
    • Application of gradient boosting algorithms to identify features with high predictive power.
    • Utilization of graph-theoretic algorithms to assess feature redundancy and potential for pruning.

    Main Results:

    • Identification of specific features within carotid dual-diameter waveforms that demonstrate significant predictive capability for blood pressure.
    • Determination of features that can be effectively pruned without compromising model accuracy, simplifying the model.
    • Validation of the physiological significance of identified features for improved model interpretability.

    Conclusions:

    • Feature selection and understanding physiological significance are critical for developing robust cuffless blood pressure estimation models.
    • Gradient boosting and graph-theoretic approaches are effective in identifying and pruning relevant features for machine learning-based blood pressure monitoring.
    • This research contributes to advancing non-invasive blood pressure measurement technologies for broader clinical application.