Development of a Real-time Force-based Algorithm for Infusion Failure Detection.

ABSTRACT:

Background

Continuous subcutaneous insulin infusion (CSII) is a common treatment option for people with diabetes (PWD), but insulin infusion failures pose a significant challenge, leading to hyperglycemia, diabetes burnout, and increased hospitalizations. Current CSII pumps' occlusion alarm systems are limited in detecting infusion failures; therefore, a more effective detection method is needed.

Methods

We conducted five preclinical animal studies to collect data on infusion failures, utilizing both insulin and non-insulin boluses. Data were captured using in-line pressure and flow rate sensors, with additional force data from CSII pumps' onboard sensors in one study. A novel classifier model was developed using this dataset, aimed at detecting different types of infusion f

SUBMITTER: Blanco LE 

PROVIDER: S-EPMC11535327 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature