Time-Frequency Analysis for EGM Rhythm Classification

View Sample PDF

Author(s): Hamid Sheikhzadeh (ON Semiconductor, Canada)and Robert L. Brennan (ON Semiconductor, Canada)
Copyright: 2008
Pages: 7
Source title: Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch166

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

Purchase

View Time-Frequency Analysis for EGM Rhythm Classification on the publisher's website for pricing and purchasing information.

Abstract

In this article, we study the problem of rhythm classification and event detection based on intracardiac electrogram (EGM) signals. At present, only a very limited scope of signal processing is possible in implantable cardioverter defibrillators (ICDs), due to the scarcity of available resources. As a result, relatively simple beat-by-beat time-domain analysis of the EGM signal(s) is employed for rhythm detection. Recently, researchers have attempted to exploit more sophisticated signal processing methods, such as wavelet transforms and template matching (Astrom, Olmos, & Sornmo, 2006; Brown, Christensen, & Gillberg, 2002; Koyrakh, Gillberg, & Wood, 1999). However, the new methods have rarely been employed in practical systems because of their computational and power demands.

The IRMA Community

Research IRM

Time-Frequency Analysis for EGM Rhythm Classification

Purchase

Abstract

Related Content

IRMA Sponsors