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

Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

1.0K
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
1.0K
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

765
Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
765
Assessment of the Cardiovascular System II: Inspection01:29

Assessment of the Cardiovascular System II: Inspection

1.3K
Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck
1.3K
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

1.2K
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
1.2K
Regulation of the Cardiovascular System01:27

Regulation of the Cardiovascular System

5.4K
The regulation of the cardiovascular system allows the body to adapt to various demands and maintain homeostasis.
The regulation of the cardiovascular system involves the autonomic nervous system (ANS), baroreceptors, and chemoreceptors, ensuring that heart rate and blood pressure are appropriately modulated in response to varying physiological demands.
The ANS comprises two main divisions: the sympathetic and parasympathetic nervous systems. The sympathetic nervous system enhances...
5.4K
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

757
Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
757

You might also read

Related Articles

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

Sort by
Same author

BayeTopo: Bayesian-Based Topology-Guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same author

Diagnostic accuracy of CTA-based quantitative hemodynamics for functional assessment in coarctation of aorta.

European journal of radiology·2026
Same author

Rationale and design of the MAPS trial: A nationwide multicenter prospective validation of CT-derived index of microcirculatory resistance for precision ischemia management.

Journal of cardiovascular computed tomography·2026
Same author

Minimum data length required for reliable resting frequency-domain ultra-short-term heart rate variability analysis.

Physiological measurement·2026
Same author

Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning.

Physiological measurement·2026

Related Experiment Video

Updated: May 3, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.1K

Investigation on cardiovascular risk prediction using physiological parameters.

Wan-Hua Lin1, Heye Zhang1, Yuan-Ting Zhang2

  • 1SIAT-Institute of Biomedical and Health Engineering, Chinese Academy of Sciences, Shenzhen 518055, China ; The CAS Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China.

Computational and Mathematical Methods in Medicine
|February 4, 2014
PubMed
Summary

Predicting cardiovascular disease (CVD) risk early is crucial. Key physiological measures like blood pressure and electrocardiograms, combined with new technologies, can improve CVD event prediction and prevention.

More Related Videos

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.7K
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

1.6K

Related Experiment Videos

Last Updated: May 3, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.1K
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.7K
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

1.6K

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Preventive Medicine

Background:

  • Cardiovascular disease (CVD) remains the leading global cause of mortality.
  • Early prediction of CVD is essential for effective prevention and treatment strategies.
  • Improving existing CVD risk prediction models necessitates incorporating novel, independent prognostic factors.

Purpose of the Study:

  • To investigate physiological parameters as risk factors for predicting cardiovascular events.
  • To summarize current medical devices for physiological testing.
  • To discuss the implications of these advancements for future CVD prevention and treatment.

Main Methods:

  • Analysis of physiological parameters including blood pressure, electrocardiogram, arterial stiffness, ankle-brachial blood pressure index (ABI), and blood glucose.
  • Review of current medical devices for physiological measurements.
  • Exploration of unobtrusive, wireless, and computer modeling technologies for real-time data assessment.

Main Results:

  • Blood pressure, electrocardiogram, arterial stiffness, ABI, and blood glucose measurements provide valuable information for predicting both long-term and near-term cardiovascular risk.
  • Existing predictive values require further validation with more comprehensive measures.
  • Advancements in technology enable remote, real-time, out-of-hospital physiological monitoring.

Conclusions:

  • Physiological parameters are vital for cardiovascular risk prediction.
  • Technological integration, including unobtrusive sensing and data fusion, holds promise for personalized, real-time CVD risk assessment.
  • Further validation is needed to fully leverage these measures for enhanced CVD prevention and management.