Estimation of Bladder Volume From Afferent Neural Activity
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.
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A peripheral nerve-based neuromodulation system for bladder control has been demonstrated in rats.
“Recently, a peripheral nerve-based neuromodulation system for bladder control was demonstrated in rats [22, 28, 80].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [80]
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Implantable neurotechnologies: a review of integrated circuit neural amplifiers
Ng, K. A., Greenwald, E., Xu, Y. P., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1431-3 · Cited by 83 · see citing works
- Authors
- Mendez, A., Sawan, M., Minagawa, T., & Wyndaele, J.-J.
- Affiliations
- Polytechnique Montréal (CA)
- University of Antwerp (BE)
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2013-09
- Volume
- 21
- Issue
- 5
- Pages
- 704-715
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2139282073
- Cited by
- 57
- References
- 32
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 5 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 4 · 2017: 5 · 2016: 8 · 2015: 6 · 2014: 1 · 2013: 4
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
- PubMed (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Funders
- Polytechnique Montréal
- Topics
- Health Sciences › Medicine › Urology › Urinary Bladder and Prostate Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Epidemiology › Urinary Tract Infections Management
- Keywords
- bladder volume estimation, neurogenic bladder, implanted neurostimulator, closed-loop neurostimulation, bladder pressure, urinary dysfunction, rat model
- MeSH terms
- Algorithms, Animals, Urinary Bladder, Urinary Bladder, Neurogenic, Data Interpretation, Statistical, Electric Stimulation, Electrophysiology, Female, Mechanoreceptors, Models, Neurological, Monitoring, Physiologic, Neural Conduction, Neurons, Afferent, Sensation, Signal Processing, Computer-Assisted, Rats, Sprague-Dawley, Nerve Fibers, Unmyelinated, Rats
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