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Related Concept Videos

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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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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Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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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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Correlation between ECG and Cardiac Cycle01:25

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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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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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ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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ECG_SegNet: An ECG delineation model based on the encoder-decoder structure.

Xiaohong Liang1, Liping Li2, Yuanyuan Liu1

  • 1School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China.

Computers in Biology and Medicine
|April 2, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces ECG_SegNet, an encoder-decoder model for accurate electrocardiogram (ECG) delineation. The model effectively detects various heartbeat waveforms and their timing, crucial for real-time cardiac disease diagnosis using wearable devices.

Keywords:
Bidirectional long short-term memory (BiLSTM)ECG delineationElectrocardiogram (ECG)Encoder-decoder structure

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Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence in Healthcare
  • Cardiology

Background:

  • Wearable electrocardiogram (ECG) devices generate vast real-time data.
  • Accurate ECG delineation is vital for diagnosing cardiac conditions.

Purpose of the Study:

  • To design an encoder-decoder model for precise ECG delineation.
  • To detect heartbeat waveforms (P-waves, QRS complexes, T-waves, No waves) and their precise onset/offset.

Main Methods:

  • Developed ECG_SegNet using an encoder-decoder architecture.
  • Incorporated a standard dilated convolution module (SDCM) for feature extraction.
  • Utilized bidirectional long short-term memory (BiLSTM) for temporal feature analysis.
  • Implemented multi-scale decoding by connecting encoder features to the decoder.

Main Results:

  • Achieved 96.90% accuracy on the QT database and 95.40% on the LU database for ECG waveform classification.
  • Attained average F1 scores of 99.58% (QT) and 97.05% (LU) for ECG delineation.
  • Demonstrated superior performance compared to state-of-the-art methods.

Conclusions:

  • ECG_SegNet offers high flexibility and reliability for ECG signal analysis.
  • The model is suitable for real-time ECG delineation and cardiac disease diagnosis.
  • This approach aids cardiologists by providing accurate and timely analysis of ECG data.