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Related Concept Videos

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...
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...
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...
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
Superposition Theorem for AC Circuits01:13

Superposition Theorem for AC Circuits

Consider encountering a circuit in a steady state where all its inputs are sinusoidal, yet they do not all possess the same frequency. Such a circuit is not classified as an alternating current (AC) circuit, and consequently, its currents and voltages will not exhibit sinusoidal behavior. However, this circuit can be analyzed using the principle of superposition.
The principle of superposition stipulates that the output of a linear circuit with several concurrent inputs is equivalent to the...

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Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
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A GC-wave correction algorithm that improves the analytical performance of aCGH.

Angela Leo1, Andrew M Walker, Matthew S Lebo

  • 1Research and Development, Esoterix Genetic Laboratories LLC, Westborough, Massachusetts 01581, USA. leoa@labcorp.com

The Journal of Molecular Diagnostics : JMD
|August 28, 2012
PubMed
Summary

This study introduces an automated algorithm to correct GC-waves, a technical artifact in array-based comparative genome hybridization (aCGH) data. The correction improves the accuracy and reliability of aCGH analysis for identifying genomic copy number variations.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Medical Diagnostics

Background:

  • Array-based comparative genome hybridization (aCGH) is crucial for detecting genomic copy number variations.
  • Clinical applications of aCGH are increasing, highlighting the need for robust data analysis.
  • GC-waves, a technical artifact related to genomic GC-content, can compromise aCGH data accuracy.

Purpose of the Study:

  • To develop and evaluate an automated algorithm for correcting GC-waves in aCGH data.
  • To assess the impact of GC-wave correction on the analytical performance of aCGH platforms.
  • To enhance the clinical utility of aCGH by improving data quality.

Main Methods:

  • Development of an automated algorithm for GC-wave correction.
  • Application of the algorithm to aCGH data.
  • Analysis of changes in specificity, sensitivity, and overall data quality post-correction.

Main Results:

  • The automated GC-wave correction algorithm effectively mitigated GC-wave artifacts.
  • Post-correction, aCGH data showed measurable improvements in quality.
  • Enhanced specificity and sensitivity were observed after applying the GC-correction algorithm.

Conclusions:

  • Automated GC-wave correction is effective in improving aCGH data quality.
  • The developed algorithm enhances the reliability of aCGH for clinical applications.
  • Accurate detection of copy number aberrations using aCGH is improved through artifact correction.