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

Special considerations while measuring pulse01:13

Special considerations while measuring pulse

889
Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
889
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.6K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
11.6K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.5K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.5K
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
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

781
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
781
Calculating and Interpreting the Linear Correlation Coefficient01:11

Calculating and Interpreting the Linear Correlation Coefficient

7.7K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
7.7K

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
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

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

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

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

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

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

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

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

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

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

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

1.2K

Boosting CCA Pulse Accuracy: How ICA Enhances Reliability in Wearable Accelerometer Devices.

V V Girish, P M Nabeel, Mohanasankar Sivaprakasam

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Independent Component Analysis (ICA) improves wearable device accuracy for common carotid artery (CCA) pulse monitoring by reducing internal jugular vein (IJV) interference. This enhances non-invasive cardiovascular health assessments.

    More Related Videos

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.4K
    Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
    08:45

    Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

    Published on: June 20, 2025

    486

    Related Experiment Videos

    Last Updated: Jan 9, 2026

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
    05:51

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

    Published on: February 21, 2025

    1.2K
    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.4K
    Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
    08:45

    Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

    Published on: June 20, 2025

    486

    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Physiology
    • Signal Processing

    Background:

    • Accurate common carotid artery (CCA) pulse assessment is vital for cardiovascular health monitoring.
    • Wearable devices struggle with interference from the internal jugular vein (IJV) pulsations.
    • Existing methods for wearable pulse monitoring require improvement in accuracy and reliability.

    Purpose of the Study:

    • To apply Independent Component Analysis (ICA) to skin Acceleration Plethysmogram (APG) signals from wearable accelerometers.
    • To isolate the CCA pulse component and mitigate IJV interference in wearable-based signals.
    • To evaluate the effectiveness of ICA in improving the accuracy of CCA pulse measurements.

    Main Methods:

    • An in-vivo study involving 20 participants was conducted.
    • Skin APG signals were recorded using a wearable accelerometer.
    • ICA was applied to isolate CCA signals, and results were compared to A-mode ultrasound reference measurements before and after ICA processing.

    Main Results:

    • Post-ICA analysis showed a significant reduction in %RMSE (40.6% for CCA-APG, 46.7% for CCA-pulse) and improvement in correlation (64.1% for CCA-APG, 62.6% for CCA-pulse) compared to ultrasound.
    • Statistical analysis (p < 0.05) confirmed significant improvements in measurement accuracy and reliability.
    • ICA effectively reduced IJV interference, enhancing the quality of wearable-based CCA pulse signals.

    Conclusions:

    • ICA is an effective technique for enhancing the accuracy of wearable accelerometer-based CCA pulse monitoring.
    • This method shows potential for non-invasive, continuous cardiovascular health assessment.
    • Reducing IJV interference via ICA significantly improves the reliability of wearable pulse monitoring devices.