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Design and Development of Multi-modal Intelligent Anesthesia Monitoring System

NCT06317025 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 330

Last updated 2025-09-12

No results posted yet for this study

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

  • Anesthesia

Interventions

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)

Sponsors & Collaborators

  • Beijing Chao Yang Hospital

    lead OTHER

Eligibility

Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-01
Primary Completion
2025-05-01
Completion
2025-05-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06317025 on ClinicalTrials.gov