Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Assessment of the Cardiovascular System I: Subjective Data

Assessment of the Cardiovascular System I: Subjective Data

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...

Assessment of the Cardiovascular System II: Inspection

Assessment of the Cardiovascular System II: Inspection

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

Assessment of the Cardiovascular System III: Palpation

Assessment of the Cardiovascular System III: Palpation

Palpation involves feeling the body to evaluate texture, size, consistency, and tenderness for assessing cardiovascular health. The following steps are organized in a head-to-toe order:
Jugular Venous Pressure (JVP) Measurement
Position the patient at a thirty- to forty-five-degree angle or in a semi-fowler's position. Look for the highest point of pulsation in the internal jugular vein and measure the vertical distance to the angle of Loius or sternal angle. A normal JVP is 3-4 cm above the...

Cardiovascular System Abnormal Findings I: Inspection and Palpation

Cardiovascular System Abnormal Findings I: Inspection and Palpation

In a cardiovascular examination, inspection and palpation are crucial for identifying abnormalities.
Abnormal findings observed during an inspection

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

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

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...

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

You might also read

Related Articles

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

Sort by

Same author

Comparative Analysis of Data Augmentation Approaches for Blood Pressure Prediction.

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

Predictive Modeling of Blood Pressure Progression.

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

Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

Journal of diabetes and metabolic disorders·2024

Same author

Machine learning models' assessment: trust and performance.

Medical & biological engineering & computing·2024

Same author

An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment.

Computer methods and programs in biomedicine·2023

Same author

A Fundamental Study on Compression Properties and Strain Rate Sensitivity of Spray-Dried Amorphous Solid Dispersions.

AAPS PharmSciTech·2022

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

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

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

Published on: September 26, 2018

Cardiovascular risk and status assessment.

S Paredes¹, T Rocha, P de Carvalho

¹Instituto Politécnico de Coimbra, Departamento de Engenharia, Informática e de Sistemas, Rua Pedro Nunes, 3030-199, Portugal. sparedes@isec.pt

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This study develops advanced cardiovascular models for assessing patient risk and current condition. These models address limitations in existing tools by incorporating more factors and handling incomplete data for better cardiovascular health management.

More Related Videos

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Published on: September 27, 2024

Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

Published on: September 22, 2023

Related Experiment Videos

Last Updated: Jun 6, 2026

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

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

Published on: September 26, 2018

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Published on: September 27, 2024

Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

Published on: September 22, 2023

Area of Science:

Cardiology
Medical Informatics
Biostatistics

Background:

Current cardiovascular risk tools have limitations, including a narrow scope of risk factors.
Existing models often fail to integrate clinical expertise or manage incomplete patient data.
There is a need for comprehensive models to assess global cardiovascular health.

Purpose of the Study:

To develop and present novel models for assessing a patient's global cardiovascular condition.
To address key drawbacks of current cardiovascular assessment tools.
To provide a framework for improved cardiovascular risk and status evaluation.

Main Methods:

Development of three distinct model types: long-term risk, short-term risk, and current status assessment.
Methodologies designed to incorporate a wider range of risk factors.
Approaches to integrate clinical expertise and handle incomplete datasets.

Main Results:

Preliminary results from the FP7 HeartCycle project demonstrate model feasibility.
The developed models show potential for more accurate cardiovascular risk prediction.
The models offer a more holistic approach to cardiovascular health assessment.

Conclusions:

The developed cardiovascular models offer a significant advancement over existing tools.
These models enhance the assessment of cardiovascular risk and patient status.
Future research directions are outlined to further refine cardiovascular health evaluation.