Multimodal Neural Monitoring

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Presentation transcript:

Multimodal Neural Monitoring Group C Kathy Dai, Brett Dixon, Wassim Khalil, Kylie McClanahan, Cody Phillips

Problem Cardiopulmonary Bypass (CPB) Definition - Pros and Cons

Problem - Current Practices Post-oximetry on the finger or ear for oxygen levels Not the most accurate method Blood drawn from an artery is the most accurate method Jugular Venous Bulb (JVB) catheter Substitute: Urinal catheter But how do we monitor brain activity during cardiac surgery?

Objective Project by Dr. Hanna Jensen, Department of Biomedical Engineering at the University of Arkansas Interdisciplinary project: Biomedical Engineering, Electrical Engineering, Computer Science, and Computer Engineering Create a comprehensive brain monitoring system Cap using NIRS technology and Electroencephalogram (EEG) Blood flow Oxygenation Cerebral temperature Neurological activity Implement algorithms to alert healthcare professionals of abnormalities in patient condition 2 minutes

Design Detailed Architecture Signal Handling 1 minute 30 seconds

Design Detailed Architecture Graphical User Interface Main Page Alerts surgical team of patient condition Detailed Pages Shows specific values 1 minute

Design

Design

Design

1 minute

Deliverables Design Document Data Information Website Code “Cap” design Hardware and Software used Applications used to develop Software Screenshots of windows application in action Data Information How we analyzed the data to establish a normal Website Code The code used to create our team’s website 1 minute 30 seconds

Deliverables Cont. Graphical User Interface Software Releases A user interface that will display the data from the EEG and NIRS signals in a simple and elegant way for healthcare professionals. Software Releases Multiple updates after initial deployment to get feedback from our mentors and the BMEGs Test Cases Well documented reports of continuous testing Final Report Wrap-up of project in its entirety