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| ID | Type | Description | Link |
|---|---|---|---|
| 13305 |
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Numerous efforts have focused on the development of closed-loop systems to control anesthesia using the electrical activity of the brain (EEG) and EEG-based parameters as surrogate measures of anesthetic depth. New systems have been recently developed to considerably improve anesthetic control using model-based, patient-adaptive methods. The purpose of this study is to evaluate the clinical efficacy of a new intelligent software, ReinLoop, in delivering closed-loop, patient-specific hypnosis.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ReinLoop control software for patient-specific induction and maintenance of anesthesia | Device | |||
| Propofol | Drug |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the clinical efficacy of the ReinLoop agent in delivering closed-loop, patient-specific hypnosis. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Anthony Doufas | Stanford University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University School of Medicine | Stanford | California | 94305 | United States |
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| ID | Term |
|---|---|
| D015742 | Propofol |
| ID | Term |
|---|---|
| D010636 | Phenols |
| D001555 | Benzene Derivatives |
| D006841 | Hydrocarbons, Aromatic |
| D006844 | Hydrocarbons, Cyclic |
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| D006838 |
| Hydrocarbons |
| D009930 | Organic Chemicals |