Trials / Completed
CompletedNCT06317025
Design and Development of Multi-modal Intelligent Anesthesia Monitoring System
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 330 (actual)
- Sponsor
- Beijing Chao Yang Hospital · Academic / Other
- Sex
- All
- Age
- 85 Years
- Healthy volunteers
- Not accepted
Summary
This project integrates the characteristics of electroencephalo-graph（EEG）, cerebral oxygen, blood pressure, heart rate, etc., based on nonlinear theory and neural oscillation, large sample data and machine learning theory, to develop a multi-modal monitoring system suitable for domestic patients, taking into account changes in sedation, analgesia, cerebral hemodynamics and other factors, regardless of patient age and type of general anesthesia drugs.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | 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) |
Timeline
- Start date
- 2024-04-01
- Primary completion
- 2025-05-01
- Completion
- 2025-05-01
- First posted
- 2024-03-19
- Last updated
- 2025-09-12
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06317025. Inclusion in this directory is not an endorsement.