Научно-практический журнал Медицинские технологии. Оценка и выбор
  • Русский
  • English

Approach to Improving the Automated System Computer Analysis of the Electrocardiogram

Issue № 2 | 2019 (36)

DOI: https://doi.org/10.31556/2219-0678.2019.36.2.042-048 meta

Abstract

Purpose is to develop and test an approach to the improvement of automated electrocardiogram (ECG) computer analysis systems, which increases physician productivity.

Materials and methods. The existing prototype of the ECG computer analysis system developed by the authors is used as materials. Dynamic time warping (DTW) method, as well as structural and object-oriented software development techniques were used.

Results and discussion. The main idea of improving automated computer-assisted ECG analysis systems is to provide the doctor with convenient software tools that allow you to: set various templates for QRS complexes; select templates and automatically find QRS complexes in ECG that are most similar to the selected template. The main result of the work is an algorithm that allows to quantify the degree of similarity of a QRS complex isolated from an ECG and a given pattern. The algorithm is based on the DTW method. The proposed improvement was tested when modifying the existing ECG computer analysis system. As a result of the modification, convenient interactive tools were added to the system, which allow the doctor to navigate the QRS complexes while viewing the ECG, taking into account their degree of similarity to the selected template. This gave the doctor the opportunity to quickly assess the patient’s condition and make a conclusion.

Conclusion. The proposed approach allows you to modify the automated computer-aided analysis of the ECG in order to increase the productivity of the doctor.

Keywords

ECG, ECG annotation, QRS complexes, method DTW, automated ECG computer analysis system.

For citations

Muromtsev V.V., Nikitin V.M., Efremova O.A., Kamyshnikova L.A. Approach to Improving the Automated System Computer Analysis of the Electrocardiogram. Medical Technologies. Assessment and Choice. 2019; 2(36): 42–48.

mt_36_2019-2_42-48