Crane H Trask, Berkebile John A, Mabrouk Samer, Riccardelli Nicholas, Inan Omer T
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Urology and Critical Care, BD, Covington, GA, USA.
NPJ Digit Med. 2025 Jan 30;8(1):73. doi: 10.1038/s41746-025-01441-4.
Monitoring fluid intake and output for congestive heart failure (CHF) patients is an essential tool to prevent fluid overload, a principal cause of hospital admissions. Addressing this, bladder volume measurement systems utilizing bioimpedance and electrical impedance tomography have been proposed, with limited exploration of continuous monitoring within a wearable design. Advancing this format, we developed a conductivity digital twin from radiological data, where we performed exhaustive simulations to optimize electrode sensitivity on an individual basis. Our optimized placement demonstrated an efficient proof-of-concept volume estimation that required as few as seven measurement frames while maintaining low errors (CI 95% -1.11% to 1.00%) for volumes ≥100 mL. Additionally, we quantify the impact of ascites, a common confounding condition in CHF, on the bioimpedance signal. By improving monitoring technology, we aim to reduce CHF mortality by empowering patients and clinicians with a more thorough understanding of fluid status.
监测充血性心力衰竭（CHF）患者的液体摄入量和排出量是预防液体过载的重要手段，而液体过载是患者住院的主要原因。针对这一问题，有人提出了利用生物阻抗和电阻抗断层扫描的膀胱容积测量系统，但在可穿戴设计中对连续监测的探索有限。在此基础上，我们从放射学数据中开发了一个电导率数字孪生模型，通过进行详尽的模拟，在个体基础上优化电极灵敏度。我们优化后的电极放置方式展示了一个有效的概念验证容积估计方法，该方法在保持≥100 mL容积的低误差（95%置信区间为-1.11%至1.00%）的同时，仅需七个测量帧。此外，我们还量化了腹水（CHF中一种常见的混杂病症）对生物阻抗信号的影响。通过改进监测技术，我们旨在通过让患者和临床医生更全面地了解液体状态来降低CHF死亡率。
