Title :
Feature extraction based method for the inverse solution of electrocardiography
Author :
Cserjés, Zs ; Szathmáry, V. ; Tinova, M. ; Kozmann, Gy ; Tysler, M.
Author_Institution :
KFKI Res. Inst. for Mater. Sci., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
The paper shows results of numerical and biological model studies related to a new inverse computation approach in electrocardiography. The method is based on linear prediction, which ables one to select the diagnostically informative moments from the heart electric activation. The information content of the measured body surface potential field at these moments is much higher than at the other times, so the algorithm can be counted as a feature extraction method
Keywords :
electrocardiography; feature extraction; inverse problems; medical signal processing; algorithm; biological model studies; diagnostically informative moments; electrocardiography inverse solution; electrodiagnostics; heart electric activation; linear prediction; measured body surface potential field; numerical model studies; Collision mitigation; Computer errors; Electrocardiography; Feature extraction; Heart; Myocardium; Pathology; Prediction algorithms; Synthetic aperture sonar; Time domain analysis;
Conference_Titel :
Computers in Cardiology 1997
Conference_Location :
Lund
Print_ISBN :
0-7803-4445-6
DOI :
10.1109/CIC.1997.647938
