Development of methods and algorithms of processing electrocardiogram
DOI:
https://doi.org/10.15587/1729-4061.2013.12443Keywords:
ECG, Holter monitoring, heart rate, wavelet transform, expert system, Matlab, VisionAbstract
Recent studies show that even heart rate of healthy quiescent people is inclined to significant fluctuations that are not necessarily a precursor of any abnormalities of the body. Various heartbeat causes different length of fragments of electrocardiogram that significantly complicates the morphological analysis of electrocardiograms in real time. Therefore, the attention of specialists aimed at the development of an expert system to process electrocardiograms.
This article discusses the designing of an expert system that allows high accuracy of detection and measurement of parameters of elements of the electrocardiogram, and the necessity of a model of a reference signal, analysis of which will help shorten the term of the effectiveness detection and the appropriateness of use of corresponding software. Namely, we have constructed two models of ideal electrocardiogram, the first one for the Matlab environment, the second one for the "Vision" module.
As a result, we can say that the apparatus of continuous wavelet transform in Matlab environment is not sufficiently effective to solve the identification problem, and the "Vision" module gives an obvious time-frequency scan that permits quickly and without additional calculations to determine the extent of presence of a frequency at a particular momentReferences
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