Anis Davoudi, a Ph.D. student in the J. Crayton Pruitt Family Department of Biomedical Engineering, was awarded the UF Informatics Institute (UFII) Graduate Student Fellowship for her proposal, “Automatic Real-Time Detection of Delirium in Intensive Care Units using Patterns Recognition.”
Anis is a second year Ph.D. student under the mentorship of Dr. Rashidi, developing a system for automatic detection of delirium in patients in Intensive Care Units (ICU). About 80% of critically ill and surgical patients suffer from delirium and more than a third of patients that suffer from delirium could benefit from medical interventions, but the current method of detecting delirium requires the ICU nurse to assess the patient using Confusion Assessment Method-Intensive Care Unit (CAM-ICU). This method is time consuming and does not detect the onset of delirium in real-time. Anis’ proposal is to use the facial expressions extracted from the video recorded by Kinect sensor along with the patient’s activity data using an accelerometer. The impact of Anis’ research is to enhance the information from a patient’s health record and be able to detect delirium and its subtype in real-time.
The UFII Graduate Student Fellowship is designed to further the UFII’s mission to develop and nurture integrative informatics research and education. Successful applicants are awarded after a rigorous peer-reviewed process and based on merit.