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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

2.6K
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

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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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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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
872
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

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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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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Intelligent Electrocardiogram Analysis in Medicine: Data, Methods, and Applications.

Yu-Xia Guan1, Ying An2, Feng-Yi Guo1

  • 1Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Chinese Medical Sciences Journal = Chung-Kuo I Hsueh K'O Hsueh Tsa Chih
|February 28, 2023
PubMed
Summary

This review summarizes electrocardiogram (ECG) analysis methods and applications. It covers 22 public ECG datasets, preprocessing techniques, and common uses like arrhythmia detection, offering insights for future research.

Keywords:
Electrocardiogramdatabasemachine learningmedical big data analysispreprocessing

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Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Electrocardiogram (ECG) is a vital, non-invasive tool reflecting cardiac electrical activity.
  • ECG applications span arrhythmia detection, disease diagnosis, mortality prediction, and biometrics.
  • Recent ECG research utilizes diverse datasets, preprocessing, and analytical methods.

Purpose of the Study:

  • To systematically review and analyze automatic ECG analysis methods and applications.
  • To provide an overview of commonly used ECG public datasets and preprocessing techniques.
  • To discuss challenges and suggest future research directions in ECG analysis.

Main Methods:

  • Systematic review of ECG-based automatic analysis techniques.
  • Analysis of 22 commonly used public ECG datasets.
  • Description of advanced methods for ECG signal analysis in various applications.

Main Results:

  • Overview of 22 public ECG datasets and their preprocessing.
  • Detailed analysis of popular ECG applications and associated advanced methods.
  • Identification of current challenges in ECG signal analysis.

Conclusions:

  • ECG analysis is a rapidly evolving field with diverse applications.
  • Standardization of datasets and methods could enhance research reproducibility.
  • Further research should address identified challenges for improved ECG diagnostics.