Fully automated life support: an implementation and feasibility pilot study in healthy pigs

Area of Science:

• Intensive Care Medicine
• Biomedical Engineering
• Automation Systems

Background:

• Automated systems reduce workload and enhance safety in various fields, but lack in medical caregiving.
• Intensive care units (ICUs) present significant challenges for workload and safety.
• Existing closed-loop systems address single applications, lacking comprehensive multi-therapeutic integration.

Purpose of the Study:

• To describe a fully closed-loop intensive care therapy system.
• To present a feasibility analysis of automated intensive care therapy.
• To demonstrate the technical and practical implementation of such a system.

Main Methods:

• The study involved three healthy pigs under general anesthesia with invasive monitoring.
• An automated fuzzy logic system controlled electrolytes, glucose, acid-base balance, and respiratory management.
• Fluid management was integrated through adaptive infusion rates.

Main Results:

• The automated system maintained homeostasis and physiological stability throughout the 72-hour study period without manual intervention.
• Key parameters like glucose (98%) and etCO2 (98%) remained within normal ranges.
• The interaction and response of different subsystems were analyzed.

Conclusions:

• The feasibility of a fully closed-loop intensive care system was demonstrated.
• High-resolution data on subsystem interactions were collected.
• Future research should employ big data analytics to further explore these interactions.