Multiresolution wavelet analysis of heart rate variability for heart-failure and heart-transplant patients

Author

Teich, Malvin C.

Author_Institution

Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA

Volume

3

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

1136

Abstract

We have carried out a study on a collection of electrocardiograms from patients who suffer from congestive heart failure, heart-transplant patients, and normal subjects, using wavelet-based multiresolution techniques and receiver-operating-characteristic (ROC) analysis. The scale-dependent wavelet-coefficient standard deviation σ_wav(m) is found to be superior to two commonly used heart-rate-variability measures for diagnosing cardiac dysfunction, the interbeat-interval standard deviation σ_int and the spectral scaling exponent δ. A recent Israeli-Danish study of diabetic patients that confirms our observations is discussed

Keywords

electrocardiography; medical signal processing; signal resolution; wavelet transforms; cardiac dysfunction; diabetic patients; discrete time sequence; electrocardiograms; heart rate variability; heart-failure patients; heart-transplant patients; interbeat-interval standard deviation; mathematical heartbeat; multiresolution wavelet analysis; receiver-operating-characteristic analysis; scale-dependent wavelet-coefficient standard deviation; spectral scaling exponent; Biomedical engineering; Diabetes; Discrete wavelet transforms; Frequency; Heart beat; Heart rate variability; Measurement standards; Signal resolution; Statistics; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.747071

Filename

747071