Clinical Research Directory
Browse clinical research sites, groups, and studies.
Early Delirium Prediction Via Serial EEG Trajectories and Machine Learning
Sponsor: Ajou University School of Medicine
Summary
The goal of this observational study is to develop a machine learning model that can predict delirium in trauma patients before it clinically appears. The study focuses on analyzing brainwave (EEG) patterns collected over several days in the trauma ICU. By comparing different recording conditions-such as having eyes open versus closed-researchers aim to identify the most effective way to monitor brain health and detect early signs of delirium in critically ill patients.
Official title: Longitudinal Frontal EEG Trajectories Reveal Divergent Cortical Dynamics in Delirium After Severe Trauma
Key Details
Gender
All
Age Range
18 Years - 65 Years
Study Type
OBSERVATIONAL
Enrollment
73
Start Date
2024-04-01
Completion Date
2025-04-30
Last Updated
2026-04-17
Healthy Volunteers
No
Locations (1)
Ajou University Hospital
Suwon, Kyonggi-do, South Korea