The article considers the system of computer analysis of ECG and the software implementation of this system. The system provides for automatic recognition of singular points of ECG and automatic detection of ECG characteristic areas. In the design and implementation of the system there were widely used the finite automata. This allowed to visualize the logic of the system, to avoid design errors and to accelerate the process of creating the system.The analysis of test results developed by the team of the prototype of the computerized ECG analysis system with the advanced capabilities of automated search for characteristic sites allows us to conclude that the reliability of ECG interpretation by a specialist increases with a substantial reduction in the time required to perform this procedure. This positive effect is achieved through the implementation of the procedure for automatic recognition of special ECG points and the use of automated means of searching for ECG lines. The system increases the reliability of decoding ECG by a doctor-cardiologist for the purpose of diagnosis and significantly reduces the time to perform this procedure.

В работе рассматриваются модели потоков данных и этапы цифровой обработки сигналов в мобильном устройстве оперативного определения жизнеугрожающих состояний сердечно-сосудистой системы. Устройство считывает сигналы ЭКГ пациента и анализирует различные виды аритмий сердца. При обнаружении жизнеугрожающего состояния устройство формирует сообщение пациенту и передает данные ЭКГ на компьютер врача. Особенностью данного устройства является его персонификация и применение надежного выявления комплексов QRS за счет использования алгоритма анализа формы сигнала, основанного на методе Dynamic time warping. Благодарности: работа выполнена при финансовой поддержке гранта РФФИ, проект № 18-413-310002

Nikitin V.M., Muromtsev V.V., Efremova O.A., Lipunova E.A, Kamyshnikova L.A. Software implementation of the system of computer analysis of ECG with advanced automated searchfor characteristic areas // Сетевой журнал «Научный результат». Серия «Медицина и фармация». -Т.2, №2, 2016. 10 Серия МЕДИЦИНА И ФАРМАЦИЯ MEDICINE AND PHARMACY Series Abstract. The article considers the system of computer analysis of ECG and the software implementation of this system. The system provides for automatic recognition of singular points of ECG and automatic detection of ECG characteristic areas. In the design and implementation of the system there were widely used the finite automata. This allowed to visualize the logic of the system, to avoid design errors and to accelerate the process of creating the system. The system increases the reliability of decoding ECG by a doctor-cardiologist for the purpose of diagnosis and significantly reduces the time to perform this procedure.

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.