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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...
Instrumentation Amplifier01:25

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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...
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...
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...

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Related Experiment Video

Updated: Jul 1, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

An extensive Markov system for ECG exact coding

S C Tai1

  • 1Institute of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, Republic of China.

IEEE Transactions on Bio-Medical Engineering
|February 1, 1995
PubMed
Summary
This summary is machine-generated.

This study introduces an extensive Markov process for more accurate electrocardiogram (ECG) signal entropy analysis. The new method improves coding efficiency, reducing average code length for ECG data.

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Last Updated: Jul 1, 2026

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Information Theory

Background:

  • Electrocardiogram (ECG) signal analysis is crucial for diagnosing cardiac conditions.
  • Accurate entropy measurement of ECG signals is essential for effective data compression and analysis.
  • Conventional methods may not fully capture the complex redundancies within ECG data.

Purpose of the Study:

  • To develop an advanced method for more precise ECG signal entropy value measurement.
  • To improve the efficiency of ECG signal coding by utilizing intersample correlations.
  • To introduce and analyze an extensive Markov process for ECG data.

Main Methods:

  • An extensive Markov process model was developed, incorporating coding and intersample redundancies.
  • The model predicts future ECG samples based on previous samples, forming an extensive Markov process state.
  • Theories of extensive Markov processes and conventional Markov processes were studied and applied to ECG exact coding.

Main Results:

  • The extensive Markov system achieved an average code length of 2.512 bits/sample for second difference ECG signals.
  • This represents a significant improvement compared to the average Huffman code length of 3.326 bits/sample for the same data.
  • The proposed system demonstrated superior performance in ECG signal coding.

Conclusions:

  • The extensive Markov process provides a more accurate method for measuring ECG signal entropy.
  • This approach effectively utilizes intersample correlations, leading to enhanced coding efficiency.
  • The developed system offers better performance for ECG data compression and analysis.