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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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,...
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
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...
Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Regulation of Heart Rates01:31

Regulation of Heart Rates

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...
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...

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Updated: Jun 22, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

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Published on: June 5, 2019

Multifractality and heart rate variability.

Roberto Sassi1, Maria Gabriella Signorini, Sergio Cerutti

  • 1Dipartimento di Tecnologie dell'Informazione, Universita degli studi di Milano, via Bramante 65, 26013 Crema, Italy. roberto.sassi@unimi.it

Chaos (Woodbury, N.Y.)
|July 2, 2009
PubMed
Summary
This summary is machine-generated.

Heart rate variability (HRV) fluctuations may be better described as multifractal rather than chaotic. This study suggests multifractal modeling for HRV, potentially involving the autonomous nervous system.

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Area of Science:

  • Nonlinear dynamics
  • Physiology
  • Complex systems analysis

Background:

  • The characterization of heart rate variability (HRV) remains a subject of debate, with questions arising about whether 'chaotic' accurately describes its fluctuations.
  • Previous research has explored various methods to understand the complex dynamics of HRV.

Purpose of the Study:

  • To investigate whether heart rate variability (HRV) fluctuations can be more appropriately characterized as multifractal.
  • To analyze approximately 24-hour RR series from normal subjects, congestive heart failure patients, and atrial fibrillation patients.

Main Methods:

  • Application of generalized structure functions and wavelet transform modulus maxima techniques to analyze RR series.
  • Construction and analysis of 40 surrogate series to validate the multifractality hypothesis.

Main Results:

  • Both generalized structure functions and wavelet transform modulus maxima indicated multifractal properties in HRV for normal and congestive heart failure subjects (75%-80% of cases).
  • HRV series from patients with atrial fibrillation exhibited minimal to no multifractality.
  • The h(q) exponents decreased with increasing q, consistent with multifractal signal behavior.

Conclusions:

  • The findings support the use of multifractal series for modeling heart rate variability (HRV).
  • The study suggests that the autonomous nervous system may play a role in the observed multifractality of HRV.
  • While the population size is limited, the results indicate multifractality as a potentially more fitting descriptor for HRV dynamics.