DocumentCode :
2368972
Title :
QRST integral maps of normal subjects: statistical analysis and simulation study
Author :
Kozmann, Gy ; Farkas, N. ; Sandor, Gy ; Szakolczai, K. ; Szathmary, V. ; Tyshler, M. ; Turzova, M.
Author_Institution :
Res. Inst. for Tech. Phys. & Mater. Sci., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
1998
fDate :
13-16 Sep 1998
Firstpage :
521
Lastpage :
524
Abstract :
Based on the body surface potential maps of a large validated normal group, sex and age dependence of the QRST integral maps was estimated. In the age decade limited subgroups of males and females the average QRST integral map patterns were visually rather stable, but an age dependent change was revealed by the relevant correlation matrix. Significant amplitude difference between the age matched males and females were observed with a slow decrease in potential values with the growing age, especially for males. The skewed conditional probability densities of the non-dipolarity indices predict modest discriminative properties. A systematic study was launched to adjust the action potential parameters of a piecewise homogeneous numerical depolarization and repolarization model
Keywords :
electrocardiography; medical signal processing; physiological models; probability; statistical analysis; ECG analysis; QRST integral maps; action potential parameters; age dependent change; correlation matrix; discriminative properties; electrodiagnostics; females; males; nondipolarity indices; normal subjects; piecewise homogeneous numerical depolarization/repolarization model; skewed conditional probability densities; Analytical models; Electrocardiography; Heart; Materials science and technology; Pathology; Physics; Probability density function; Quantization; Statistical analysis; Synthetic aperture sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1998
Conference_Location :
Cleveland, OH
ISSN :
0276-6547
Print_ISBN :
0-7803-5200-9
Type :
conf
DOI :
10.1109/CIC.1998.731917
Filename :
731917
Link To Document :
بازگشت