Institute of Cybernetics at Tallinn University of Technology            RESEARCH OVERVIEW 1998
next top of this page previous

logo DEPARTMENT OF MECHANICS AND APPLIED MATHEMATICS


ANALYSIS OF HEART RATE VARIABILITY

HEAD OF THE PROJECT Jaan KALDA, Ph.D.

heart rate variability (HRV)

DESCRIPTION

The heart rate variability (HRV) has been studied extensively during the last 15 years. At the present time, the so called Holter monitoring is widely used in medical practice. The ECG is registered during 24 hour. The sequences of RR-intervals (as well as all the arrhythmic signals) are registered.


In medical practice, the following parameters are generally taken into account:

Normal ECG signals Normal ECG signals

Meanwhile, it is widely accepted that there are more complex statistical characteristics of the RR-sequences which are also affected by the heart diseases and can provide a considerable amount of additional diagnostically important information. Although in principle the techniques of non-linear dynamics have been shown to be powerful tools for characterization of various complex systems, no major breakthrough has yet been achieved by their application to bio-medical data including HRV analysis.

The aim of the present project is to find the best statistical characteristics of long-time series of RR-intervals from the diagnostical point of view. More specifically, the output parameters should be as sensible as possible with respect to the several heart diseases.

The figure demonstrates some of our results: 12 healthy children (mean age 11,5±3,3 years, 6 children (mean age 11,5±1,9 years) with clinically documented sinus node disease (SND) and 14 children of different diagnosis (mean age 11,5±5,1 years) are investigated. The time-domain and frequency-domain parameters of HRV are compared with the new characteristics (LPDD8PS).

RESEARCH STAFF

PUBLICATIONS


next top of this page previous 07/04/1998 webmaster

© Institute of Cybernetics, Akadeemia 21, Tallinn 12618, Estonia     Phone: (+372) 620 4150   Fax: (+372) 620 4151