Design and Development of Multi-modal Intelligent Anesthesia Monitoring System
- Disease/Condition
- Anesthesia
- Drug/Device/Intervention
- Multi-modal Intelligent Anesthesia Monitoring System
- Study type
- Observational
- Intervention type
- diagnostic test
- Primary sponsor
- Beijing Chao Yang Hospital
- Phase
- N/A
- Start date
- May 01, 2024
- End date
- Dec 01, 2025
- Enrollment
- 330 participants
the depth of anesthesia (too deep or too shallow)
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.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT06317025
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT06317025 through Pure Global AI's free database. This phase not specified trial is sponsored by Beijing Chao Yang Hospital and is currently Not yet recruiting. The study focuses on Anesthesia. Target enrollment is 330 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.