DocumentCode
2483578
Title
On-line analysis of cardiac near field signals during electrophysiological experiments with heart preparations
Author
Wiener, Thomas ; Arnold, Robert ; Hofer, Ernst
Author_Institution
Inst. of Biophys., Med. Univ. of Graz, Graz, Austria
fYear
2012
fDate
13-16 May 2012
Firstpage
1487
Lastpage
1490
Abstract
Two signal processing algorithms for the on-line analysis of local propagation of activation during electrophysiological in-vitro experiments with heart preparations are presented. The first algorithm computes local velocity and direction of the propagating activation wave. Along with the values, their uncertainties due to noise are given. The second algorithm determines the fractionation index, a quantitative measure to characterize fractionated electrograms. These parameters are expected to provide valuable information for the characterization of the microstructure of the tissue under examination. The implementation of these algorithms in a measurement system allows the on-line monitoring of the resulting parameters in a beat-to-beat manner for heart rates up to 1800 beats per minute. This enables the examination of tachycardia even in fast beating preparations like the mouse heart.
Keywords
bioelectric phenomena; biological tissues; cardiology; fractionation; medical signal processing; online operation; signal denoising; wave propagation; beat-to-beat manner; electrophysiological experiments; field signals; fractionated electrograms; fractionation index; heart preparations; mouse heart; noise; on-line cardiac analysis; on-line monitoring; propagating activation wave; signal processing algorithms; tachycardia; tissue microstructure; Correlation; Extracellular; Heart; Noise; Sensors; Signal processing algorithms; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location
Graz
ISSN
1091-5281
Print_ISBN
978-1-4577-1773-4
Type
conf
DOI
10.1109/I2MTC.2012.6229563
Filename
6229563
Link To Document