Heart work analysis by means of recurrence-based methods

• Autorzy: Iwaniec J. , Iwaniec M.

Warianty tytułu

PL

Zastosowanie metody diagramów rekurencyjnych w diagnostyce i klasyfikacji chorób serca

• Języki publikacji: EN

Abstrakty

EN

Currently, for the purposes of recorded ECG signals (electrocardiograms) interpretation, the classical methods involving analysis of geometrical properties of the recorded waveforms in time domain are used. Such an analysis consists in determining the values of parameters describing the heart rate and rhythm. However, these indicators can not be treated as an infallible criterion for diagnosis and, moreover, the limits of increasing the accuracy of ECG analysis by increasing the accuracy of determining its characteristic points have already been reached. Therefore, in the paper, for the purposes of analysis of registered ECG signals and acoustical recordings of heart work, it is proposed to use the recurrence plots and RQA analysis methods that consist in searching for the recurrence properties of the registered signals. Application of the recurrence-based methods is natural due to the cyclic character of the heart work while providing patterns characteristic for different cardiac dysfunctions supported by objective, quantitative measures will contribute to early, credible and reliable classification of cardiovascular dysfunction.

PL

Obecnie, do analizy zarejestrowanych sygnałów EKG, wykorzystywane są metody detekcji punktów charakterystycznych, czyli metody badania własności geometrycznych analizowanych sygnałów w dziedzinie czasu. Jednak wyznaczone parametry opisujące zmienność rytmu serca nie są niezawodnym kryterium rozpoznania choroby. Z tego względu, w artykule, do analizy zarejestrowanych sygnałów EKG zaproponowano łączne zastosowanie metod klasycznych (obecnie stosowanych metod badania własności geometrycznych EKG) oraz metod diagramów rekurencyjnych (RP) i analizy RQA, polegających na badaniu rekurencyjności trajektorii fazowych badanych układów. Zastosowanie metod badania własności rekurencyjnych do analizy sygnałów EKG jest naturalne ze względu na cykliczny charakter pracy serca, natomiast określenie cech dystynktywnych charakterystycznych dla różnych chorób serca przyczynia się do zwiększenia wiarygodności a także niezawodności diagnostyki i klasyfikacji chorób serca.

Słowa kluczowe

EN

ECG signal; heart work; cardiovascular dysfunctions; recurrence plots; RQA analysis

PL

sygnał EKG; cykl pracy serca; zaburzenia rytmu serca; metoda diagramów rekurencyjnych; analiza RQA

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2017
• Tom: Vol. 18, No. 4
• Strony: 89--96
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Iwaniec J.

• AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Robotics and Mechatronics, Mickiewicz Alley 30, 30-059 Krakow, Poland

autor

Iwaniec M.

• AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Process Control, Mickiewicz Alley 30, 30-059 Krakow, Poland

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