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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
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The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
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The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
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Related Experiment Video

Updated: May 7, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Arrhythmic dynamics from singularity analysis of electrocardiographic maps.

Oriol Pont, Hussein Yahia, Binbin Xu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary

    Analyzing heart

    Area of Science:

    • Cardiology and Nonlinear Dynamics

    Background:

    • Cardiac electrical activity is a complex dynamical system reflecting heart health.
    • Understanding cardiac arrhythmias requires advanced nonlinear signal-processing methods.

    Purpose of the Study:

    • To characterize cardiac signals and improve the understanding of arrhythmias.
    • To explore singularity exponents for analyzing atrial arrhythmic dynamics.

    Main Methods:

    • Nonlinear signal-processing techniques.
    • Analysis of reconstructible signals and multiscale information content.
    • Application of singularity exponents to characterize system dynamics.

    Main Results:

    • Singularity exponents provide compact and meaningful descriptors of cardiac signal structure and dynamics.

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  • This approach offers a concise representation of atrial arrhythmic dynamics.
  • Regime transitions and arrhythmogenic areas are sharply highlighted.

    • Conclusions:

    • Nonlinear dynamics and singularity exponents offer a powerful approach to analyze cardiac electrical activity.
    • This method enhances the understanding and characterization of cardiac arrhythmias.