Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| General anaesthetic patient | Monitoring depth of anaesthesia using PRST （P：pressure， T：tear，R：rate， S：sweat）score developed by Evans and bispectral index |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Multi-modal Intelligent Anesthesia Monitoring System | Diagnostic Test | To evaluate the sensitivity and specificity of self-developed anesthesia monitoring systems in diagnosing the depth of anesthesia (too deep or too shallow) |
| Measure | Description | Time Frame |
|---|---|---|
| the depth of anesthesia (too deep or too shallow) | PRST score system, combined with BIS index for comprehensive judgment | During general anesthesia |
| Measure | Description | Time Frame |
|---|---|---|
| EEG characteristics of loss of consciousness induced by different general anesthesia drugs | Spectral Analysis，Connectivity Analysis，Brain Networks Analysis | During general anesthesia |
| Characteristics of perioperative neurovascular coupling |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients undergoing non-cardiac surgery under general anesthesia in Beijing Chaoyang Hospital, Capital Medical University
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University | Beijing | Beijing Municipality | 100020 | China |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
EEG power and entropy indexes are extracted by moving window method as new time series, and a new time series consistent with NIRS is constructed. The entropy and power of different frequency bands after resampling were used as the indexes of neural activity, and ΔHbO and ΔHb were selected as the indexes of hemodynamic activity. The neurovascular coupling was evaluated by calculating the coherence of neural activity and hemodynamic activity.
| Perioperative |