Wavelet analysis of bipolar endocardial electrograms for morphology based detection of ventricular tachycardias

Author

Jung, J. ; Strauss, D. ; Siaplaouras, S. ; Buob, A. ; Sinnwell, T. ; Manoli, Y. ; Schieffer, H. ; Heisel, A.

Author_Institution

Internal Med. III, Saarlandes Univ., Saarbrucken, Germany

fYear

2000

fDate

2000

Firstpage

347

Lastpage

350

Abstract

Morphology based detection criteria may increase the specificity of the detection of ventricular tachycardia (VT) in implantable cardioverter-defibrillators. The aim of the study was to create a VT detection algorithm using the wavelet transform based morphology of bipolar right ventricular electrograms (EGM). EGM were obtained during an electrophysiological study in patients (P) with inducible monomorphic VT. The wavelet description of a template EGM during normal sinus rhythm (NSR) or atrial fibrillation (AF) characterized by 7 wavelet parameters (WP) was compared to EGM under analysis. For discrimination of NSR/AF and VT, the difference of WP was considered. Discrimination of VT from NSR/AF was achieved in all P with 100% accuracy. The description of the morphology of EGM in the wavelet domain seems to be a feasible tool for discrimination of NSR or AF from VT. The incorporation of this algorithm in modern ICD-systems might improve automated arrhythmia recognition

Keywords

biocontrol; defibrillators; electrocardiography; mathematical morphology; medical signal detection; patient monitoring; wavelet transforms; VT detection algorithm; atrial fibrillation; automated arrhythmia recognition; bipolar endocardial electrograms; bipolar right ventricular electrograms; discrimination; electrophysiological study; implantable cardioverter-defibrillators; inducible monomorphic VT; modern ICD-systems; morphology based detection; normal sinus rhythm; patients; template EGM; ventricular tachycardias; wavelet analysis; wavelet domain; wavelet parameters; wavelet transform based morphology; Cardiology; Medical treatment; Morphology; Performance analysis; Rhythm; USA Councils; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898528

Filename

898528