ECG signal analysis by pattern comparison

Author

Bousselijot, R. ; Kreiseler, D.

Author_Institution

Phys. Tech. Bundesanstalt, Braunschweig, Germany

fYear

1998

fDate

13-16 Sep 1998

Firstpage

349

Lastpage

352

Abstract

A new technique for the ECG interpretation by waveform recognition is introduced. The basis for the pattern matching algorithm without feature extraction is an ECG waveform database with ECG signals and patient diagnosis information. The recognition takes place by comparing the waveforms of 12 leads of the examined ECG with the same leads of different ECGs from the database. The similarity of the compared ECG beats is calculated with the cross correlation function. By means of the algorithm, we select ECGs of the database which are the most similar to the examined ECG considering all of the individual leads. Using the available database information, the diagnosis which corresponds to the most similar ECGs of the database is then identified as the diagnosis for the examined ECG. The new method has been tested with 249 original ECGs, most of them from patients with myocardial infarction or from healthy persons

Keywords

correlation methods; electrocardiography; medical signal processing; pattern classification; pattern matching; signal classification; spectral analysis; 3D Cartesian system; ECG beats; ECG interpretation; ECG signal analysis; ECG waveform database; cross correlation function; myocardial infarction patients; pattern comparison; pattern matching algorithm; signal conditioning; waveform recognition; Computer aided analysis; Electrocardiography; Feature extraction; Medical diagnosis; Myocardium; Neural networks; Pattern matching; Signal analysis; Spatial databases; Testing;

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.1998.731806

Filename

731806