Urine Volume Estimation by Electrical Impedance Tomography with Fewer Electrodes: A Simulation Study*

Urine Volume Estimation by Electrical Impedance Tomography with Fewer Electrodes: A Simulation Study*
复制标题

使用较少电极的电阻抗断层扫描估算尿量:模拟研究*

DOI:
10.1109/ieeeconf49454.2021.9382658
复制
发表时间:
2021
期刊:
2021 IEEE/SICE International Symposium on System Integration (SII)
影响因子:
--
通讯作者:
H. Sanada
H. Sanada
中科院分区:
--
文献类型:
--
作者:
Shuhei S. Noyori;H. Noguchi;G. Nakagami;Taketoshi Mori;H. Sanada

文献摘要

相似文献

尿失禁在老年人中很普遍。最近的研究已经证明了基于膀胱容量测量的老年人膀胱护理的有效性,这些老年人保持储尿功能,但由于痴呆或一些神经系统疾病而难以感觉膀胱充盈。为了帮助护理人员提供基于膀胱容量测量的护理,我们的团队正在开发一种可穿戴膀胱容量传感器,其误差为$\mathrm{o}\mathrm{f} \lt 20\mathrm {m}\mathrm{L}$(200 mL左右的误差为10%)。本研究评价了在有限元模拟中通过阻抗测量进行膀胱体积估计的性能,其中电极比普通电阻抗断层扫描少。8电极测量的模拟数据的结果显示,在正常测量噪声的情况下,均方根误差为27.7(0.2)mL(平均值(SD)),在较小的噪声情况下,均方根误差降低到15.2(0.1)mL。该研究证实,使用八个电极的阻抗测量准确地估计膀胱体积。由于尿液电导率具有日变化的特性,我们在混合尿液电导率条件下对模型进行了检验。均方根误差增加到57.2(0.3)mL,即使噪声较小也没有改善。进一步的研究将包括一个估计模型,是强大的尿液电导率变化的发展。
Urinary incontinence is prevalent among elderly people. Recent studies have demonstrated the effectiveness of continence care based on bladder volume measurement in elderly people, who maintain the urinary storage function but have difficulty in feeling bladder fullness due to dementia or some neurological disorders. To help caregivers provide the bladder volume measurement-based care, our group is developing a wearable bladder volume sensor with an error $\mathrm{o}\mathrm{f} \lt 20\mathrm{m}\mathrm{L}$ (10% error around 200 mL). This study evaluated the performance of a bladder volume estimation by impedance measurement with fewer electrodes than ordinary electrical impedance tomography in finite element simulation. The result in simulation data by 8-electrode measurement showed a root mean square error of 27.7 (0.2) mL (mean (SD)) with the normal measurement noise, and this decreased to 15.2 (0.1) mL with a smaller noise. This study confirmed that the impedance measurement with eight electrodes accurately estimates the bladder volume. As the urine conductivity is subject to diurnal variation, we tested the model in the mixed urine conductivity condition. The root mean square error increased to 57.2 (0.3) mL and was not improved even with smaller noise. Further research will include the development of an estimation model that is robust to urine conductivity variations.