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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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 the T...
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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...
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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. When...
Pulse rhythm01:30

Pulse rhythm

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 muscle...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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 to...

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Panel data analysis of cardiotocograph (CTG) data.

Hiroyuki Horio1, Hitomi Kikuchi, Tomoaki Ikeda

  • 1Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary

This study applies panel data analysis, a statistical method from econometrics, to fetal heart rate (FHR) patterns from cardiotocography (CTG) recordings. This approach enables better analysis of complex FHR data for improved intrapartum care.

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Area of Science:

  • Biomedical Engineering
  • Statistics
  • Obstetrics

Background:

  • Cardiotocography (CTG) monitors fetal heart rate (FHR) and uterine contractions during labor.
  • Analyzing the relationship between FHR patterns and delivery outcomes is crucial but lacks large-scale data.
  • Existing methods struggle to manage and interpret extensive FHR pattern datasets.

Purpose of the Study:

  • To adapt panel data analysis, a statistical method from econometrics, for analyzing cardiotocography (CTG) data.
  • To create a structured dataset of fetal heart rate (FHR) patterns for comprehensive analysis.
  • To provide perinatologists with a tool for viewing FHR patterns from both microscopic and macroscopic perspectives.

Main Methods:

  • Panel data analysis, typically used in econometrics for time-series and cross-sectional data, was applied to CTG data.
  • Fetal heart rate (FHR) patterns were symbolized into segments to form a panel dataset.
  • The methodology facilitates the handling and visualization of large volumes of FHR data.

Main Results:

  • The application of panel data analysis to CTG data proved feasible.
  • Symbolized FHR segments formed a manageable panel dataset.
  • The method allows for a comprehensive view of FHR patterns, aiding clinical interpretation.

Conclusions:

  • Panel data analysis offers a novel statistical approach for studying fetal heart rate (FHR) patterns.
  • This method enhances the ability to analyze large-scale CTG data, potentially improving intrapartum fetal monitoring.
  • The approach facilitates a detailed examination of FHR dynamics, supporting clinical decision-making in obstetrics.