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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

6.0K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
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Regulation of Heart Rates01:31

Regulation of Heart Rates

3.6K
The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
3.6K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

227
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
227
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

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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...
2.2K
Physiology of the Heart: The Cardiac Cycle01:18

Physiology of the Heart: The Cardiac Cycle

7.2K
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...
7.2K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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

297
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...
297

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Related Experiment Videos

A physiology based model of heart rate variability.

Wilhelm von Rosenberg1, Marc-Oscar Hoting2, Danilo P Mandic1

  • 11Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London, SW7 2AZ UK.

Biomedical Engineering Letters
|December 5, 2019
PubMed
Summary

A new heart rate variability (HRV) model simulates physiology, not just statistics. This approach explains HRV changes during stress and allows personalization for wearable health applications.

Keywords:
Autonomic nervous systemMental stressModelling heart rate variabilityPhysical stressVital signsWearable ECG

Related Experiment Videos

Area of Science:

  • Physiology
  • Biophysics
  • Computational Biology

Background:

  • Heart rate variability (HRV) reflects autonomic nervous system (ANS) activity and individual states of body and mind.
  • Existing HRV models primarily mimic statistical properties of recorded HRV signals.
  • Significant inter-individual variability in HRV necessitates personalized modeling approaches.

Purpose of the Study:

  • To develop a novel HRV model based on underlying physiology and biophysics.
  • To create a model that accurately simulates observed HRV across various scenarios.
  • To enable personalization of HRV modeling for individual physiological differences.

Main Methods:

  • Approximation of heart beat triggering physiology.
  • Incorporation of biophysics mechanisms governing HRV via ANS influence.
  • Consideration of neurotransmitter metabolisation and membrane potential dynamics.
  • Parameterization based on transmitter and ion concentrations.

Main Results:

  • The model generates HRV time series exhibiting features consistent with real data.
  • It explains the reduction in low-frequency band power during high-intensity physical or psychological stress.
  • The model allows for personalization of input parameters to individual physiology.

Conclusions:

  • The proposed physiological and biophysical model offers a novel approach to HRV simulation.
  • This model accurately reproduces HRV characteristics and explains stress-induced changes.
  • Personalization capabilities are crucial for advancing wearable health technologies and understanding individual responses.