出版社：Faculty of Humanities, Kaunas University of Technology
其他摘要：Efficient diagnosis of cardiovascular system diseases could be gained by development of the new technologies for cardio signal analysis. The aim of the work was to adapt the analysis of the ranks evaluating the RR intervals from three synchronously recorded cardio signals – electrocardiogram (ECG), impedance cardiogram (ICG) and seismocardiogram (SCG). The interpersonal and intrapersonal analysis of ECG, ICG and SCG is performed basing on the ranks of Hankel matrix. The relatively different information is evaluated from the analysis of ranks based on Poincare plots. The results show that expressing cardio signals with Hankel matrix could be useful for development of diagnostic technologies, because ranks counted in each RR interval make possibilities for efficient classification of “healthy” and “sick” persons groups. Ill. 18, bibl. 19 (in English; summaries in English, Russian and Lithuanian).
