350 rub
Journal Biomedical Radioelectronics №8 for 2016 г.
Article in number:
Evaluation of cardiac intervals order and length regularity with the use of mathematical statistics methods
Keywords: automatic ECG analysis atrial fibrillation clustering methods
Authors:
S.V. Motorina - Post-graduate Student, Department of Biotechnical Systems, Saint Petersburg Electrotechnical University «LETI» E-mail: motorina_sv@mail.ru A.N. Kalinichenko - Dr.Sc. (Eng.), Professor, Department of Biotechnical Systems, Saint Petersburg Electrotechnical University «LETI» E-mail: ank-bs@yandex.ru
Abstract:
This work is devoted to the development of new cardiac rhythm analysis methods for the automatic ECG monitoring devices and systems. The approach based on different forms of cardiac intervals sequence representation statistical analysis is presented. The following forms of cardiac intervals graphical presentation were considered: Poincare plots (a set of points having coordinates equal to two adjacent RR-interval values). Phase portrait vectors (set of lines connecting consequent points of Poincare plot) and sets of points in 2-D and 3-D domains of these vectors directions. Each of the listed above representation forms produce compact groups of points in case of normal rhythm or extrasystoles while for atrial fibrillation the uniform distribution of these points is characteristic. The most adequate clusterization method was defined for each form of presentation. The optimal number of clusters was determined with the use of Davies-Bouldin and Duda-Hart criteria. The intergroup and intragroup distances between formed clusters were used as indexes for the differentiation between atrial fibrillation and other types of cardiac rhythm. The best differentiation was achieved in case when the joint components method was applied to the 2-D representation of the vectors directions values. Only intergroup variance works as an informative index in this case. The threshold value corresponding to minimal error of atrial fibrillation detection was determined. The obtained values of the presented method quality estimations correspond to the level of the best published atrial fibrillation detection algorithms.
Pages: 14-19
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