Eric Mauri Michael Marquis Matthew Kasztejna Advised by: Dr. Wes Ely Delirium Detection Eric Mauri Michael Marquis Matthew Kasztejna Advised by: Dr. Wes Ely

Delirium Overview Brain’s form of organ dysfunction Defined as a disturbance of consciousness characterized by an acute onset and fluctuating course of impaired cognitive functioning. Develops in over 80% of ICU patients Direct consequence of medical conditions, medication, toxin exposure, or a combination of all of these.

Delirium Demographics Occurs in 15-60% of general patients and most frequent complication of hospitalization in older patients Complicates 2-3 million people yearly. Involves over 17.5 million inpatient days. Over $4 billion in Medicare expenditures. Development of delirium selected as one of the top three most important areas for quality of care improvement in older adults.

How is it detected? Arousal and Attention Assessment Problems Confusion Assessment Method (CAM) Acute onset of mental changes Inattention Disorganized thinking Alertness Problems Subjective No Standardization Time Intensive

Project Objectives Develop system that can continuously measure delirium in ICU patients Device must be small, cost-effective, comfortable, and practical Real-Time measurements, data storage, and analysis of information (software)

Proposed Solution Quantitative EEG Benefits Acquire digital signal Transform it into the frequency domain Focus on certain frequency bands that have been clinically shown to be important to sleep. Benefits Inexpensive Noninvasive Software reduces man hours Most importantly several studies have shown that EEG can be effectively used to monitor sleep

Current Work Researching EEG components that are associated with delirium Reviewing existing EEG monitoring systems, such as Sleep-IT and Vitaport. Identifying the problems associated with using EEG in the past. Early design requirements as dictated by ICU environment and patient types Reviewing our findings with Dr. Ely

Future Work Determine best system for EEG acquisition in ICU environment. Selection of quantitative analysis tool (software) Continue working with Dr. Weinhouse After determining the best system to use, acquire actual data on ourselves