开发和验证基于光学传感器的自动化尿液流量计,用于实时监测患者
Piyush Hota1,2,3,4, Adithya Shyamala Pandian2,3,4,5, Rodrigo E Domínguez3,4,6
1School for Engineering of Matter, Transport & Energy, Ira A. Fulton School of Engineering, Tempe, AZ 85287, USA.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
我们开发了一种自动化尿液流量计,P-meter,用于精确,实时监测尿液输出. 这种具有成本效益的设备有助于早期检测急性损伤 (AKI),通过在肌素水平发生变化之前跟踪尿液输出.
科学领域:
- 生物医学工程 生物医学工程
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗器械 医疗器械
背景情况:
- 急性损伤 (AKI) 是住院患者的常见并发症,由于血清肌素升高的延迟,早期检测受到阻碍.
- 尿量减少 (UO) 是AKI的早期指标,但手动监测是不可靠的,劳动密集型.
研究的目的:
- 开发和验证一个具有成本效益的自动化设备,用于精确的实时尿液输出监测.
- 通过加强UO监测,改善AKI的早期检测.
主要方法:
- 使用非接触式光学传感器,环静电和微控制器自动化的P-meter的开发.
- 在动物研究中,对三种原型 (V1,V2,V3) 与金标准重力测量测量进行了超过285小时的验证.
- 代改进,专注于微型化,流体动力学和传感器定位.
主要成果:
- 优化的V3 P-meter原型表现出高精度 (R2 = 0.9889,平均误差为-0.1 mL,达成94.18%的协议).
- 与早期的原型相比,该设备显示出更好的精度,稳定性和流量精度.
- 该P-meter提供了比现有的商业系统更低的成本准确的UO监控.
结论:
- 皮度计为实时尿量监测提供了可靠且具有成本效益的解决方案.
- 这项技术可以促进AKI的早期检测,从而有可能改善患者的治疗结果.
- 自动化UO监测代表了重症监护和科的重大进步.
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