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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...
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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...
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...
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...
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...
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...

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Related Experiment Video

Updated: Jun 20, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

ECG signal compression and classification algorithm with quad level vector for ECG holter system.

Hyejung Kim1, Refet Firat Yazicioglu, Patrick Merken

  • 1Interuniversity Microelectronics Center, Leuven 3001, Belgium. hyejung@imec.be

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|September 25, 2009
PubMed
Summary
This summary is machine-generated.

A novel Quad Level Vector (QLV) method enhances electrocardiogram (ECG) processing for holter systems. This approach improves compression and classification efficiency with reduced computational complexity.

Related Experiment Videos

Last Updated: Jun 20, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiogram (ECG) monitoring is crucial for diagnosing cardiac conditions.
  • Holter systems require efficient ECG signal processing for data compression and analysis.
  • Existing methods often face challenges with computational complexity and noise robustness.

Purpose of the Study:

  • To introduce a Quad Level Vector (QLV) based signal processing method for ECG holter systems.
  • To enhance both the compression and classification flows of ECG data.
  • To achieve improved performance with reduced computational load.

Main Methods:

  • Developed a compression algorithm using ECG skeleton and Huffman coding with optimizations.
  • Implemented adaptive threshold adjustment and 4-bit-wise Huffman coding for efficiency.
  • Employed heartbeat segmentation and R-peak detection for classification.

Main Results:

  • Achieved an average compression ratio of 16.9:1 with a root mean square difference of 0.641%.
  • Obtained an encoding rate of 6.4 kbps.
  • Demonstrated 100% R-peak detection accuracy in noise-free conditions and 95.63% at -10-dB SNR.
  • Reduced overall processing cost by 45.3%.

Conclusions:

  • The proposed QLV method offers efficient ECG signal compression and classification for holter systems.
  • The technique maintains high signal quality and accuracy while significantly reducing computational complexity.
  • The algorithm demonstrates robustness against noise, ensuring reliable performance in real-world applications.