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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Biomedical Signal Pr...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Biomedical Signal Processing and Control
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC)

Authors: Hesham W. Gomma; Ahmed El-Azab;

Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC)

Abstract

Abstract Neurogenic Lower Urinary Tract Dysfunction (NLUTD) which is usually called neurogenic bladder, is a dysfunction of the urinary bladder due to malfunction in the central nervous system or peripheral nerves which involved in the control of micturition (urination). Current treatments vary between medications, surgery and open loop Electrical-stimulatory therapy. This paper presents new a treatment approach for this disease using totally a new approach namely the control engineering. A nonlinear model for the LUTD is developed and controller using the Model Predictive Control (MPC) is designed to compensate for the faulty, weak, or absent control signals while considering the constraints in the nerve control signals. The MPC controller shows a significant ability in controlling the micturition process and bringing the bladder behavior to its normal function pattern while satisfying the nerve signal constraints. Meanwhile, the MPC shows significant robustness and excellent ability to deal with wide range of model uncertainties.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Top 10%
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