ClinicalTrials.gov
public full text
Public Domain
ADVANCE: Assessment for Defining Variability in Anesthesia Through Novel Clinical EEG
The present study is designed to compare prospectively whether sBIS, sEMG, or CVI variability (brain monitoring) can be used to predict unwanted intraoperative responses (high blood pressure, fast heart rate, tearing, etc.) to stimulation (pain) and to determine whether these intraoperative findings are related to patient-assessed postoperative pain scores. The hypothesis is that increases in these variability measures are associated with increased probability of unwanted responses. If confirmed, these variability measures may help anesthesia providers by highlighting periods of inadequate analgesia (pain relief).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparison of Sevoflurane and Desflurane on ANI in Patients Undergoing General Anesthesia: a Prospective Randomized Controlled Study#898893
- Prediction of Pain After Breast Cancer Surgery With EEG#969718
- Association of Plasma Melatonin Levels With Delirium#803948
- Development and Evaluation of Computerized Chemosensory-Based Orbitofrontal Networks Training for Treatment of Pain (CBOT-P)#804300
- Efficacy of Virtual Reality in Reducing Injection Pain and Anxiety During Local Anesthesia in Children#875149
Record · ID 893985
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive