Title
Preprocessing Of Fluoresced Transmembrane Potential Signals For Cardiac Optical Mapping
Abstract
Fluorescence imaging of transmembrane voltage-sensitive dyes is used to study electrical activation in cardiac tissue. However, fluorescence signals typically have a low signal to noise ratio that can be contaminated with motion artifacts. We describe an alternative processing approach for fluoresced transmembrane potentials (fTmps) using the wavelet multiresolution analysis. We show that fTmp signals can be decomposed and reconstructed to form three sub-signals that contain signal noise (noise signal), the early depolarization phase of the action potential (rTmp signal), and motion artifact (rMA signal). Discrete wavelet transform is used with coiflet4 scaling and wavelet functions for fTmp decomposition and reconstruction of these sub-signals. Our results show that this type of analysis can be used to remove baseline drift, reduce noise, and reveal wavefronts. It streamlines the preprocessing of fTmps for subsequent measurement of activation times and conduction velocities. The approach is promising for studying wave fronts without aggressive mechanical tissue constraint or electromechanical uncoupling agents, and it is particularly useful for single camera systems that do not provide for ratiometric imaging.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6090042
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
transmembrane potential,image reconstruction,heart,heart conduction system,algorithms,wavelet analysis,multiresolution analysis,fluorescence,optical mapping,action potential,noise,signal to noise ratio,discrete wavelet transform,fluorescence imaging,conduction velocity
Iterative reconstruction,Computer vision,Optical mapping,Coiflet,Noise (signal processing),Computer science,Signal-to-noise ratio,Voltage-Sensitive Dye Imaging,Electronic engineering,Discrete wavelet transform,Artificial intelligence,Wavelet
Conference
Volume
ISSN
Citations 
2011
1557-170X
1
PageRank 
References 
Authors
0.35
2
5
Name
Order
Citations
PageRank
Huda Asfour181.66
Luther Swift210.35
Narine Sarvazyan310.35
Miloš Doroslovački410.35
Matthew Kay510.69