Title :
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
fDate :
29 Oct-1 Nov 1998
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 σwav (m) is found to be superior to two commonly used heart-rate-variability measures for diagnosing cardiac dysfunction, the interbeat-interval standard deviation σint 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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747071
