Large-scale dimension densities for heart rate variability analysis

Author

Raab, C. ; Wessel, N. ; Schirdewan, A. ; Kurths, J.

Author_Institution

Inst. of Phys., Univ. of Potsdam

fYear

2005

fDate

25-28 Sept. 2005

Firstpage

985

Lastpage

988

Abstract

We analyse the heart rate variability data (HRV) using the concept of large-scale dimension densities (LASDID). This method enables to analyse very short and non-stationary data, such as HRV, and, hence, also short parts of the data and to look for differences between day and night. The circadian changes in the dimension density enable to an almost complete distinction between real data and computer generated data from CiC 2002 challenge using only one parameter. Furthermore, we analyse the data of 15 patients with atrial fibrillation (AF), 15 patients with congestive heart failure (CHF), 15 elderly healthy subjects (EH) as well as 18 young and healthy persons (YH). With our method we are able to separate completely the AF group from the others and the CHF patients show significant differences to the young and elderly healthy volunteers

Keywords

bioelectric phenomena; biomedical measurement; cardiology; diseases; CHF; HRV; LASDID; atrial fibrillation; circadian changes; computer generated data; congestive heart failure; heart rate variability analysis; large-scale dimension densities; nonstationary data; Atrial fibrillation; Data analysis; Extraterrestrial measurements; Failure analysis; Heart rate variability; Large-scale systems; Physics; Senior citizens; Time measurement; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2005

Conference_Location

Lyon

Print_ISBN

0-7803-9337-6

Type

conf

DOI

10.1109/CIC.2005.1588274

Filename

1588274