DocumentCode
232040
Title
Sampling lattice and signal reconstruction in urodynamics
Author
Klunder, Mario ; Sawodny, Oliver ; Feuer, Ronny ; Stenzl, Arnulf ; Sievert, Karl-Dietrich ; Amend, Bastian ; Vaegler, Martin ; Ederer, Michael
Author_Institution
Inst. for Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
1790
Lastpage
1796
Abstract
Urethral pressure profilometry is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured by a special catheter in order to asses the contraction strength of the sphincter muscle. However, the diagnostic value of pressure profilometry is limited. We seek to increase the diagnostic value by providing a detailed spatial reconstruction of the pressure profile on the surface of the urethra. Therefore, we investigate the sampling lattice (i.e., spatial sample distribution) and its properties with respect to signal reconstruction depending on the catheter´s sensor configuration and retraction motion. A sampling lattice with beneficial properties for reconstruction is generated through downsampling and a coordinate transformation of the original samples. We investigate its stability properties and present a reconstruction algorithm for the two-dimensional pressure distribution. Simulation results for signal reconstruction and stability properties conclude this work.
Keywords
catheters; medical signal processing; patient diagnosis; pressure measurement; signal reconstruction; signal sampling; catheter sensor configuration; catheter sensor retraction motion; pressure profile; sampling lattice; signal reconstruction; spatial reconstruction; spatial sample distribution; two-dimensional pressure distribution; urethra surface; urethral pressure profilometry; urodynamics; Catheters; Lattices; Reconstruction algorithms; Signal reconstruction; Stability analysis; Surface reconstruction; Trajectory; Biomedical signal processing; Catheters; Nonuniform sampling; Signal reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7015302
Filename
7015302
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