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System for defining diagnostic of parameters of the ECG signal in the LabVIEW software environment
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Determining the boundaries of QRS complexes in ECG signals is of fundamental importance in the diagnosis of arrhythmias and in the recognition of signals in clinical manifestations in general. Description of the ECG in phase space coordinates is one of the modern methods for analyzing electrocardiographic data. The effectiveness of this method lies in the fact that it provides additional information contained in the speed characteristics of the conduction system of the heart. With various lesions of the heart, both the sequence of the path and the propagation velocity of the depolarization and repolarization wave change, the visualization of which in phase space makes it possible to detect deviations that are hidden in the analysis in the amplitude-time space. The development and software implementation of algorithms for processing and analyzing ECG signals for diagnosing arrhythmias based on modern computer technologies and innovative methods is one of the urgent tasks. The aim of the work is to develop a system for determining the informative parameters of the ECG signal in phase space and in real time space for diagnosing ventricular extrasystoles and heart rate variability parameters. A virtual system has been developed in the Labview software environment for processing and analyzing electrocardiographic signals in order to determine informative parameters and identify and recognize ventricular extrasystoles. The system provides for the processing of ECG signals both by classical methods and in the phase space. An algorithm for recognition of ventricular extrasystoles is proposed. The algorithm was tested, phase portraits and heart rate variability were analyzed using ECG files taken from international databases. The developed system makes it possible to analyze the ECG signal in a complex way, evaluate informative parameters, recognize ventricular extrasystoles, and, based on the phase portrait, determine additional diagnostic features to improve the reliability of ECG diagnostics.
Publishing house "Radiotekhnika"
Title: System for defining diagnostic of parameters of the ECG signal in the LabVIEW software environment
Description:
Determining the boundaries of QRS complexes in ECG signals is of fundamental importance in the diagnosis of arrhythmias and in the recognition of signals in clinical manifestations in general.
Description of the ECG in phase space coordinates is one of the modern methods for analyzing electrocardiographic data.
The effectiveness of this method lies in the fact that it provides additional information contained in the speed characteristics of the conduction system of the heart.
With various lesions of the heart, both the sequence of the path and the propagation velocity of the depolarization and repolarization wave change, the visualization of which in phase space makes it possible to detect deviations that are hidden in the analysis in the amplitude-time space.
The development and software implementation of algorithms for processing and analyzing ECG signals for diagnosing arrhythmias based on modern computer technologies and innovative methods is one of the urgent tasks.
The aim of the work is to develop a system for determining the informative parameters of the ECG signal in phase space and in real time space for diagnosing ventricular extrasystoles and heart rate variability parameters.
A virtual system has been developed in the Labview software environment for processing and analyzing electrocardiographic signals in order to determine informative parameters and identify and recognize ventricular extrasystoles.
The system provides for the processing of ECG signals both by classical methods and in the phase space.
An algorithm for recognition of ventricular extrasystoles is proposed.
The algorithm was tested, phase portraits and heart rate variability were analyzed using ECG files taken from international databases.
The developed system makes it possible to analyze the ECG signal in a complex way, evaluate informative parameters, recognize ventricular extrasystoles, and, based on the phase portrait, determine additional diagnostic features to improve the reliability of ECG diagnostics.
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