Anesthesia Depth Diagnosis Assistance System
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- Categories
- Computer Hardware & Software, Medical Devices
- Summary
- A novel information processing methodology has been developed to assist in anesthesia administration. Based on signals from commonly used anesthesia monitoring and administration equipment, the method combines expert knowledge of the anesthesiologist and real-time data collected during the surgery to establish and update individual patient models that relate multiple drug infusion rates to their impacts on anesthesia depth and physiological variables. These models are then used to predict the results of drug infusion decisions on the outcome during the operation or other anesthesia procedures. It is envisioned that these predictions could serve as valuable decision-making assistance tools for the anesthesia administrator. The methodology is based on clinical modeling, fast identification and knowledge-based information processing, and stochastic analysis. The research team is currently developing and testing prototype devices.
- File number
- 02-621
- Publications
- A US patent application is on file.
- Contact
- Anne DiSante
Director, Technology Transfer Office
Phone: 313-577-5541
Fax : 313-577-2814
anne.disante@wayne.edu