Clinical Research Directory
Browse clinical research sites, groups, and studies.
Design and Development of Multi-modal Intelligent Anesthesia Monitoring System
Sponsor: Beijing Chao Yang Hospital
Summary
This project integrates the characteristics of electroencephalo-graph（EEG）, cerebral oxygen, blood pressure, heart rate, etc., based on nonlinear theory and multi-modal monitoring system suitable for domestic patients, taking into neural oscillation, large sample data and machine learning theory, to develop a account changes in sedation, analgesia, cerebral hemodynamics and other factors, regardless of patient age and type of general anesthesia drugs.
Key Details
Gender
All
Age Range
0 Years - 65 Years
Study Type
OBSERVATIONAL
Enrollment
330
Start Date
2024-04-01
Completion Date
2026-03-28
Last Updated
2026-09-08
Healthy Volunteers
No
Conditions
Interventions
Multi-modal Intelligent Anesthesia Monitoring System
To evaluate the sensitivity and specificity of self-developed anesthesia monitoring systems in diagnosing the depth of anesthesia (too deep or too shallow)
Locations (1)
Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University
Beijing, Beijing Municipality, China