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

Correlation between ECG and Cardiac Cycle

Correlation between ECG and Cardiac Cycle

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...

Transient and Steady-state Response

Transient and Steady-state Response

In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state response.

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...

Transmission-Line Differential Equations

Transmission-Line Differential Equations

Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from the...

Physiology of the Heart: The Cardiac Cycle

Physiology of the Heart: The Cardiac Cycle

The cardiac cycle describes the events from one heartbeat to the next. It includes three main phases: diastole, atrial systole, and ventricular systole, all driven by changes in chamber pressures and the function of heart valves.
Diastole: The Relaxation Phase
During diastole, all four heart chambers relax. The atrioventricular (AV) valves open, and the semilunar valves close. This phase sees the lowest chamber pressures, promoting ventricular filling. Venous blood enters the heart through the...

Node Analysis for AC Circuits

Node Analysis for AC Circuits

Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...

You might also read

Related Articles

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

Sort by

Same author

Those who need it the most get it the least: Age specific reciprocal effects between social support and mental strain.

Acta psychologica·2022

Same author

Bleeding and ischaemic events after first bleed in anticoagulated atrial fibrillation patients: risk and timing.

European heart journal·2022

Same author

Managers' Action-Guiding Mental Models towards Mental Health-Related Organizational Interventions-A Systematic Review of Qualitative Studies.

International journal of environmental research and public health·2022

Same author

Effective refractive error coverage in adults aged 50 years and older: estimates from population-based surveys in 61 countries.

The Lancet. Global health·2022

Same author

BCC-Cu nanoparticles: from a transient to a stable allotrope by tuning size and reaction conditions.

Physical chemistry chemical physics : PCCP·2022

Same author

Applying risk matrices for assessing the risk of psychosocial hazards at work.

Frontiers in public health·2022

Search research articles

Related Experiment Video

Updated: May 13, 2026

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Coupling analysis of transient cardiovascular dynamics.

Andreas Müller¹, Maik Riedl, Thomas Penzel

¹Cardiovascular Physics, Department of Physics, Humboldt-Universit a t zu Berlin, Robert-Koch-Platz 4, 10115 Berlin, Germany. andreas.mueller@physik.hu-berlin.de

Biomedizinische Technik. Biomedical Engineering

|March 1, 2013

Summary

Analyzing system coupling during transitions is crucial for understanding complex systems. New ensemble symbolic coupling traces reveal hidden transient dynamics in cardiovascular data, offering deeper insights into physiological responses.

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Related Experiment Videos

Last Updated: May 13, 2026

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Area of Science:

Complex systems analysis
Physiological dynamics
Data-driven scientific investigation

Background:

Understanding system coupling is vital for complex systems like the human circulatory system.
Transient dynamics during state changes in physiological systems contain crucial interaction information.
Traditional analysis often overlooks valuable data within system transitions.

Purpose of the Study:

To extend symbolic coupling traces for time-variant coupling analysis.
To analyze transient dynamics in multivariate cardiovascular data.
To reveal hidden transient structures missed by classic methods.

Main Methods:

Application of an ensemble approach to symbolic coupling traces.
Development of ensemble symbolic coupling traces for time-variant analysis.
Analysis of cardiovascular data during an orthostatic test.

Main Results:

Ensemble symbolic coupling traces can determine coupling direction, strength, and time offset.
Transient structures within cardiovascular data were identified.
These structures were undetectable by conventional analysis techniques.

Conclusions:

The extended method effectively analyzes time-variant coupling in complex systems.
Transient dynamics during physiological state changes hold significant information.
This approach enhances the understanding of cardiovascular system interactions.