Ventilators mechanically assist the flow of air into the lungs of patients unable to breathe on their own due to acute lung injuries, respiratory failures, cardiovascular and brain injuries etc. It is estimated that ~2.7 episodes of mechanical ventilation occur per 1000 population units, and is often a lengthy and expensive process. Currently, important decisions regarding mode and duration of ventilation are made based on clinician knowledge and experience. “Smart” systems can help improve patient safety and recovery by providing valuable physiological feedback to assist clinician decision-making.
Researchers at the University of Michigan have designed a novel monitoring and controller system, which intelligently uses patient-specific physiological signals to manage respiratory ventilation.
Intelligent respiratory ventilator monitoring and controller system enhances ventilator management
This novel technology aims to optimize ventilation using real time feedback obtained from the patient. Various non-invasive and invasive monitoring technologies are used to obtain information from the patient’s organ systems (such as cardiopulmonary and cerebrovascular systems). All these signals are integrated into an intelligent system that is subsequently able to assist the clinician in determining if and what type of ventilation is necessary, when ventilation can be stopped/resumed as well as recommend gradual weaning off the ventilator to resume normal breathing.
- Optimize treatment of acute lung injury, acute respiratory failure, cardiogenic and other shock states, traumatic brain injury and other cerebrovascular catastrophes
- Enhance weaning from mechanical ventilation and resume normal breathing
- Improve delivery of therapeutic agents to the lung
- Easy integration of patient monitoring data with electronic medical records
- Enhanced alarm management – can configure ventilator alarms to connect with clinician pager/smart device to enable fast response without clinician being in earshot of ventilator
- First intelligent ventilator monitor capable of integrating wide ranges of physiological signals with respiratory information
- Provides important information to guide clinician decisions on mode of ventilation, weaning and therapeutic feedback
- Decrease incidence of abdominal compartment syndrome