Dimensional analysis of HRV in hypertrophic cardiomyopathy patients

Author

Carvajal, R. ; Zebrowski, J.J. ; Vallverdú, M. ; Baranowski, R. ; Chojnowska, L. ; Poplawska, W. ; Caminal, P.

Volume

21

Issue

4

fYear

2002

Firstpage

71

Lastpage

78

Abstract

The HRV signals of 16 HCM patients are analyzed. Eight of them died or had a history of aborted sudden cardiac death, forming the high-risk group. The other eight patients form the low-risk group. Stationarity analysis is applied in order to avoid nonstationarities and to reject those data from further analysis. The surrogate data method is used to test nonlinear determinism on the RR series. Correlation dimension is calculated for all of the signals. An exponential fit to obtain the D_c is introduced, and a new index, D_ck, derived from the proposed methodology is presented. This new phenomenological index will have the ability to stratify HCM patients with low and high risk of sudden cardiac death.

Keywords

cardiovascular system; correlation methods; electrocardiography; medical signal processing; spectral analysis; time series; ECG; HRV signals; RR series; cardiovascular phenomena; correlation dimension; discrete-beat series; exponential fit; hypertrophic cardiomyopathy patients; hypothesis; inverse Fourier transform; nonlinear determinism; phenomenological index; spectral analysis; stationarity analysis; sudden cardiac death risk; surrogate data method; tachograms; Biomedical engineering; Cardiology; Data analysis; Electrocardiography; Heart rate variability; Muscles; Rhythm; Risk analysis; Signal analysis; Time domain analysis;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/MEMB.2002.1032644

Filename

1032644