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Related Concept Videos

Cardiac Cycle01:29

Cardiac Cycle

The cardiac cycle refers to the sequence of events that occur in the heart from the beginning of one heartbeat to the next. It's characterized by alternating periods of contraction (systole) and relaxation (diastole) of the heart muscles.
During the cardiac cycle, blood flow through the heart is regulated entirely by changing pressure gradients. This sequence of events begins with the heart in a state of total relaxation, known as mid-to-late diastole, during which blood passively flows from...
Physiology of the Heart: The Cardiac Cycle01:18

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...
Physiological Control of Respiration01:23

Physiological Control of Respiration

Introduction
Breathing, a seemingly passive process, is regulated by the respiratory center in the brainstem. This center coordinates the involuntary control of respirations, which means it occurs without conscious effort, ensuring a smooth and uninterrupted pattern.
Regulation of Ventilation
The body maintains ventilation by monitoring levels of carbon dioxide (CO2), oxygen (O2), and hydrogen ion concentration (pH) in the arterial blood. Among these factors, the level of CO2 plays a crucial...
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart rate...
Correlation between ECG and Cardiac Cycle01:25

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...
Mechanism of Breathing II: Expiration01:23

Mechanism of Breathing II: Expiration

The Physiology of Expiration: A Seamless Respiratory Process
Expiration, or exhaling, is a complex physiological process that begins as the inspiratory muscles begin to relax. This relaxation triggers a series of events that epitomize the efficiency of the respiratory system.
Mechanism of Expiration:

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Related Experiment Video

Updated: Jul 7, 2026

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds
06:26

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds

Published on: September 27, 2024

Phase coupling in the cardiorespiratory interaction.

A Bahraminasab1, D Kenwright, A Stefanovska

  • 1Department of Physics, Lancaster University, Lancaster, UK. a.bahraminasab@gmail.com

IET Systems Biology
|February 6, 2008
PubMed
Summary

This study introduces a new Markovian analysis to model cardiorespiratory phase coupling, revealing insights into heart rate and respiration interactions. The developed model accurately reproduces synchronization phenomena between these vital systems.

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A Pacing-Controlled Procedure for the Assessment of Heart Rate-Dependent Diastolic Functions in Murine Heart Failure Models
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A Pacing-Controlled Procedure for the Assessment of Heart Rate-Dependent Diastolic Functions in Murine Heart Failure Models

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Last Updated: Jul 7, 2026

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds
06:26

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Published on: September 27, 2024

A Pacing-Controlled Procedure for the Assessment of Heart Rate-Dependent Diastolic Functions in Murine Heart Failure Models
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A Pacing-Controlled Procedure for the Assessment of Heart Rate-Dependent Diastolic Functions in Murine Heart Failure Models

Published on: July 21, 2023

Area of Science:

  • Physiology
  • Nonlinear Dynamics
  • Data Analysis

Background:

  • Understanding cardiorespiratory interactions is crucial for physiological monitoring.
  • Previous models have limitations in capturing the complex dynamics of heart rate and respiration variability.

Purpose of the Study:

  • To derive nonlinear stochastic equations for reconstructing cardiorespiratory variability data.
  • To model the phase interactions between heart rate and respiration for the first time.
  • To gain new insights into cardiorespiratory phase coupling.

Main Methods:

  • Application of Markovian analysis.
  • Derivation of nonlinear stochastic equations.
  • Reconstruction of heart rate and respiration rate variability data.

Main Results:

  • A novel model of cardiorespiratory 'phase' interactions was obtained.
  • New insights into the strength and direction of cardiorespiratory phase coupling were gained.
  • The reconstructed model successfully reproduced synchronization phenomena and switches in synchronization ratio.

Conclusions:

  • The developed Markovian analysis provides a powerful tool for understanding cardiorespiratory dynamics.
  • This technique offers a new perspective on the coupling between cardiac and respiratory systems.
  • The method is broadly applicable to analyzing multi-dimensional couplings in complex interacting systems.