Design and Development of Multi-modal Intelligent Anesthesia Monitoring System
NCT ID: NCT06317025
Last Updated: 2025-09-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
330 participants
OBSERVATIONAL
2024-04-01
2025-05-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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General anaesthetic patient
Monitoring depth of anaesthesia using PRST （P：pressure， T：tear，R：rate， S：sweat）score developed by Evans and bispectral index
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)
Interventions
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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)
Eligibility Criteria
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Inclusion Criteria
2. ASA: Level I-III
3. Patients undergoing non cardiac surgery under general anesthesia
4. Informed consent of the patient or legal representative
Exclusion Criteria
2. History of mental illness and related medication use
3. Individuals who are unable to cooperate in completing cognitive function tests
4. Severe hearing or visual impairment
5. Preoperative delirium in patients
6. Individuals who have experienced severe adverse reactions such as cardiac arrest and cardiopulmonary resuscitation during surgery
7. Those who require neurosurgery, head and facial surgery
8. Individuals who are allergic to EEG and fNIRS electrodes
85 Years
ALL
No
Sponsors
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Beijing Chao Yang Hospital
OTHER
Responsible Party
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Locations
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Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University
Beijing, Beijing Municipality, China
Countries
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Other Identifiers
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SHOUFA2022-2Z-2039
Identifier Type: -
Identifier Source: org_study_id
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