DocumentCode :
1761071
Title :
Estimation of Bladder Volume From Afferent Neural Activity
Author :
Mendez, Arnaldo ; Sawan, Mohamad ; Minagawa, Tomonori ; Wyndaele, Jean-Jacques
Author_Institution :
Electr. Eng. Dept., Ecole Polytech. de Montreal, Montreal, QC, Canada
Volume :
21
Issue :
5
fYear :
2013
fDate :
Sept. 2013
Firstpage :
704
Lastpage :
715
Abstract :
Refractive urinary dysfunction in individuals suffering from neurogenic bladder syndrome can be treated with implanted neurostimulators that restore, to some degree, the control of the urinary bladder. A sensor capable of relaying feedback from bladder activity to the implanted neurostimulator is required to implement a closed-loop system to improve overall implant efficacy and minimize deleterious effects to neural tissue caused by continuous electrical stimulation. In this paper, we present a method that allows real-time estimation of bladder volume from the primary afferent activity of bladder mechanoreceptors. Our method was validated with data acquired from anesthetized rats in acute experiments. It was possible to qualitatively estimate three states of bladder fullness in 100% of trials when the recorded afferent activity exhibited a Spearman´s correlation coefficient of 0.6 or better. Furthermore, we could quantitatively estimate bladder volume, and also its pressure, using timeframes of properly chosen duration. The mean volume estimation error was 5.8±3.1%. Our results also demonstrate that it is possible to quantify both phasic and tonic bladder responses during slow filling and isovolumetric measurements, respectively.
Keywords :
bioelectric potentials; biological organs; biological tissues; biomedical measurement; diseases; neurophysiology; volume measurement; Spearman correlation coefficient; anesthetized rats; bladder mechanoreceptors; bladder volume real-time estimation; closed-loop system; continuous electrical stimulation; implanted neurostimulators; isovolumetric measurement; mean volume estimation error; neural activity; neural tissue; neurogenic bladder syndrome; phasic bladder; refractive urinary dysfunction; tonic bladder; Biomedical monitoring; biomedical signal processing; bladder pressure; bladder volume; neural prosthesis; Algorithms; Animals; Data Interpretation, Statistical; Electric Stimulation; Electrophysiology; Female; Mechanoreceptors; Models, Neurological; Monitoring, Physiologic; Nerve Fibers, Unmyelinated; Neural Conduction; Neurons, Afferent; Rats; Rats, Sprague-Dawley; Sensation; Signal Processing, Computer-Assisted; Urinary Bladder; Urinary Bladder, Neurogenic;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2013.2266899
Filename :
6527978
Link To Document :
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