GRAPHIC INTERFACE FOR IDENTIFICATION AND ANALYSIS OF T-WAVE WITH APPLICATIONS IN CARDIOLOGY, TUTORIAL FOR BIOENGINEERIING EDUCATION
GRAPHIC INTERFACE FOR IDENTIFICATION AND ANALYSIS OF T-WAVE WITH APPLICATIONS IN CARDIOLOGY, TUTORIAL FOR BIOENGINEERIING EDUCATION

Summary/Abstract: Although it is an obsolete, simple and accessible device of investigation, it offers doctors a large amount of information on the structure and functionality of the heart. Due to the slope and low-intensity amplitude, but also to the lack of a universal detection rule of the beginning and end of the wave, the delimitation of the T wave remains a concern. Moreover, besides predicting the peak wavelength and its limits, an accurate estimation of the waves can have a major impact on the medical act, such as the detection of the arrhythmias and wavelength alternation. The software package has following modules: ECG signal processing by filtering and noise reduction available on the route and graphical user interface with application in the evaluation of T wave morphology, which can assess pathological type issues, which can lead to sudden cardiac death or to the need to assess the implantation of cardiac stimulation devices. This paperwork takes into consideration both possibilities, in conformity with the available information about the indicative parameters. To alleviate numerical problems related to the previous delimitation associated to the T wave, we use Markov Monte Carlo chain method. This represents a sampling strategy required to solve Bayesian interference issues. We will focus on a particular method of Markov Monte Carlo chain, which refers to Gibbs partial sampling, whose convergence proprieties have already been proved. The correct detection of the T waveform for a set of annotated data, can then be compared by superposition with an example of waveform extracted through classical methods used in diagnosis of arrhythmias.

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