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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

7.6K
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
An ECG utilizes electrodes on the skin...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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.
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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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
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.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Assessment of apical pulse01:17

Assessment of apical pulse

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Assessing the Apical Pulse
Assessing the apical pulse is a critical nursing procedure, particularly indicated for:
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Cardiomyopathy I: Introduction and Classification01:25

Cardiomyopathy I: Introduction and Classification

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Cardiomyopathy, or CMP, is a group of diseases affecting the myocardial structure, impairing its ability to pump blood effectively. This condition can lead to arrhythmias, heart failure, or sudden cardiac death.Cardiomyopathies are classified into primary and secondary categories:Primary Cardiomyopathy refers to conditions involving only the heart muscle that are often idiopathic (of unknown cause) or genetic. They primarily affect the myocardium without the involvement of other systemic...
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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A one-class approach to cardiotocogram assessment.

Dimitris Gavrilis, George Nikolakopoulos, George Georgoulas

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study explores a novel one-class approach for Cardiotocogram (CTG) analysis, focusing solely on healthy fetal heart rate and uterine contraction data. Promising results suggest this method can effectively identify deviations from normal fetal well-being.

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    Area of Science:

    • Obstetrics and Gynecology
    • Medical Signal Processing
    • Artificial Intelligence in Healthcare

    Background:

    • Cardiotocograms (CTGs) are essential for assessing fetal well-being during pregnancy.
    • Current automated CTG interpretation methods often use binary or multiclass classification.
    • These methods require labeled data for both normal and abnormal categories.

    Purpose of the Study:

    • To investigate a one-class classification approach for automated CTG analysis.
    • To develop a model trained exclusively on normal fetal heart rate (FHR) and uterine contraction (UC) data.
    • To evaluate the potential of this approach in detecting deviations from normal CTG patterns.

    Main Methods:

    • Utilized a one-class classification strategy for CTG interpretation.
    • Developed a predictive model trained solely on datasets representing healthy fetal conditions.
    • Focused on analyzing FHR and UC traces.

    Main Results:

    • Preliminary results demonstrate the feasibility of the one-class approach.
    • The model shows promise in distinguishing normal CTG traces from abnormal ones.
    • Normal CTG data can serve as a basis for detecting anomalies.

    Conclusions:

    • A one-class approach is a viable strategy for CTG analysis.
    • Training models on healthy data can facilitate the detection of abnormal fetal conditions.
    • This method offers a potential advancement for automated fetal monitoring systems.