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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...
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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.
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Scaling01:26

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per minute.

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Related Experiment Video

Updated: Jul 10, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Multifractality and scale invariance in human heartbeat dynamics.

Emily S C Ching1, Yue-Kin Tsang

  • 1Department of Physics and Institute of Theoretical Physics, The Chinese University of Hong Kong, Shatin, Hong Kong.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2007
PubMed
Summary

Human heart rate variability exhibits multifractality. This study clarifies scale invariance in detrended interbeat interval sums, a key feature of healthy and pathological human heartbeat dynamics.

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Area of Science:

  • Physiology
  • Complex Systems Analysis
  • Nonlinear Dynamics

Background:

  • Human heart rate (HR) displays complex fluctuations, with evidence of multifractality in healthy states.
  • Multifractality in HR variability may manifest as scale-dependent probability density functions (PDFs) of interbeat interval increments.
  • Previous studies reported scale invariance in detrended HR increments, but the precise nature requires clarification.

Purpose of the Study:

  • To clarify the nature of scale invariance in detrended human heart rate fluctuations.
  • To differentiate between scale invariance in interbeat interval increments versus sums of detrended intervals.
  • To investigate the general applicability of observed dynamics in both healthy and pathological human heartbeats.

Main Methods:

  • Analysis of probability density functions (PDFs) of detrended interbeat interval increments.
  • Examination of the scale or n-dependence of these PDFs.
  • Comparison of dynamics in healthy and pathological human heart rate data.

Main Results:

  • Scale invariance is exhibited by the PDFs of the sum of n detrended interbeat intervals, not the increments themselves.
  • Detrended healthy interbeat interval increments show scale or n-dependence, consistent with multifractality.
  • The n-independence of the PDFs of summed detrended intervals is a universal characteristic of human heartbeat dynamics.

Conclusions:

  • The reported scale invariance in detrended HR dynamics pertains to the sums of detrended interbeat intervals.
  • Human heartbeat dynamics exhibit multifractality, characterized by scale-dependent PDFs of increments.
  • The scale invariance of summed detrended intervals is a robust feature across healthy and pathological human heart rate fluctuations.