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

2. 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.

3. 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.

4. 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

5. 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)

6. 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

7. 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

8. 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