VCG loop alignment and morphologic variability

Author

Sörnmo, Leif ; Pahlm, Olle ; Wohlfart, Björn

Author_Institution

Signal Process Group, Lund Univ., Sweden

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1371

Abstract

The measurement of subtle beat-to-beat morphologic variability is complicated by the presence of respiration-induced movements of the heart. A statistical signal model is developed which accounts for scaling, rotation and time synchronization of a VCG loop. The maximum likelihood (ML) estimator of the model parameters is derived and tested on a material of high-resolution VCG recordings. The results show that the new method, relying on a spatial relationship of the leads, is able to efficiently reduce the effects of respiration on beat-to-beat variability

Keywords

electrocardiography; maximum likelihood estimation; medical signal processing; motion compensation; signal resolution; synchronisation; ECG; VCG loop alignment; beat-to-beat morphologic variability; maximum likelihood estimator; model parameters; respiration-induced movements; rotation; scaling; spatial relationship; statistical signal model; time synchronization; vectorcardiography; Electrocardiography; Gaussian noise; Heart; Ischemic pain; Materials testing; Maximum likelihood estimation; Morphology; Myocardium; Physiology; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647459

Filename

647459