Urinary Bladder Volume Reconstruction Based on Bioimpedance Measurements: Ex Vivo and In Vivo Validation Through Implanted Patch and Needle Electrodes

生物医学工程 体积热力学 离体 算法 电极 材料科学 体内 计算机科学 数学 医学 物理 生物技术 量子力学 生物
作者
Federica Semproni,Veronica Iacovacci,Stefania Musco,Arianna Menciassi
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (24): 31287-31296
标识
DOI:10.1109/jsen.2023.3330978
摘要

Restoring bladder sensation in patients with bladder dysfunctions by performing urinary volume monitoring is an ambitious goal. The bioimpedance technique has shown promising results in wearable solutions but long-term validation and implantable systems are not available, yet. In this work, we propose to implant commercial bioimpedance sensors on bladder walls to perform bladder volume estimation. Two commercial sensor types (Ag/AgCl patch and needle electrodes) were selected to this purpose. Injected current frequency of 1.337 MHz and electrodes pair on the same face of the bladder allowed to correlate the changes in impedance with increasing volumes. Two volume reconstruction algorithms have been proposed, based on the direct correlation between bioimpedance readings and bladder volume (Algorithm A) or bioimpedance readings and inter-electrode distance (Algorithm B, bladder shape approximated to a sphere). For both algorithms, a better fit with a second-degree fitting polynomial was obtained. Algorithm A obtained lower estimation errors with an average of 20.35% and 21.98% (volumes greater than 150 ml) for patch and needle electrodes, respectively. The variations in ions concentration led to a slight deterioration of volume estimation, however the presence of tissues surrounding the bladder did not influence the performance. Although Algorithm B was less affected by the experimental conditions and inter-subject biological variability, it featured higher estimation errors. In vivo validation on suine model showed average errors of 29.36% (volumes greater than 100 ml), demonstrating the potential of the proposed solution and paving the way towards a novel implantable volume monitoring system.
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