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Electrocardiogram01:29

Electrocardiogram

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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.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Electrocardiogram Fundamentals01:28

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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Dysrhythmias V: Evaluating Dysrhythmias01:30

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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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Cardiac Action Potential01:30

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Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
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ECG Interpretation of Rhythms01:24

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
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Dysrhythmias I: Introduction01:15

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Dysrhythmias refers to abnormalities in the heart's rhythm. They result from disruptions in the heart's electrical conduction system, which includes the sinoatrial(SA)node, atrioventricular(AV) node, the bundle of His, bundle branches, and Purkinje fibers.Definition and PathophysiologyDysrhythmias result from disorders of impulse formation, impulse conduction, or both. The heart contains specialized cells in the sinoatrial node, atrioventricular node, and the bundle of His and Purkinje fibers...
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A Digital Electrocardiographic System for Assessing Myocardial Electrical Instability: Principles and Applications.

A P Vorobiev1, T G Vaykhanskaya2, O P Melnikova1

  • 1Senior Researcher, Laboratory of Medical Information Technologies; Republican Scientific and Practical Center "Cardiology", Ministry of Health of the Republic of Belarus, 110B Rosa Luxemburg St., Minsk, 220036, Republic of Belarus.

Sovremennye Tekhnologii V Meditsine
|November 19, 2021
PubMed
Summary

A new ECG system, Intecard 7.3, monitors myocardial electrical instability to predict adverse cardiovascular events. This technology accurately identifies patients at risk for ventricular tachyarrhythmias and sudden cardiac death.

Keywords:
ECG markers of myocardial instabilityarrhythmiamyocardial electrical instabilitypredicting adverse cardiovascular eventssudden cardiac death

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Technology

Background:

  • Myocardial electrical instability is a critical factor in adverse cardiovascular events (ACVE).
  • Accurate monitoring and prediction of ACVE are essential for patient management in cardiology.
  • Existing methods may lack the precision or scope to fully capture electrical instability markers.

Purpose of the Study:

  • To develop and evaluate an ECG hardware and software system (Intecard 7.3) for monitoring myocardial electrical instability.
  • To assess the diagnostic and prognostic capabilities of this system in a clinical setting.
  • To establish a predictive model for ACVE risk stratification using ECG-derived markers.

Main Methods:

  • Developed the Intecard 7.3 system for beat-to-beat ECG analysis, measuring parameters like fragmented QRS, QRS-T angle, T-wave alternans, and QT interval/dispersion.
  • Evaluated the system in 734 patients with ischemic heart disease or cardiomyopathy and 112 healthy individuals.
  • Utilized digital precision processing for enhanced accuracy of ECG signal analysis.

Main Results:

  • Intecard 7.3 reliably identified fragmented QRS complexes and calculated spatial QRS-T angle, T-wave alternans, QT interval, and QT dispersion with high precision.
  • Patients experiencing ACVE showed significantly higher frequencies of fragmented QRS, larger QRS-T angles, increased T-wave alternans, prolonged QT intervals, and greater QT dispersion compared to those without ACVE.
  • A personalized ACVE risk stratification model achieved 77% predictive accuracy, with 75% sensitivity and 78% specificity.

Conclusions:

  • The Intecard 7.3 system effectively uses ECG markers of myocardial electrical instability to predict life-threatening ventricular tachyarrhythmias and sudden cardiac death.
  • The system demonstrates a predictive accuracy of 77% for adverse cardiovascular events.
  • Its non-invasiveness, high productivity, and reasonable cost make it a valuable tool for healthcare at all levels.