Decision Support System for Anesthetists
NCT04079036 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 360
Last updated 2019-09-06
Summary
The balanced anesthesia process contains three main parts: the control of hypnosis, analgesia, and neuromuscular blockade. For the induction phase, the anesthesiologist performs protocols based on prior planning specific to each patient and usually performs these controls by monitoring the classic vital signs and other clinical signs for the maintenance phase.
In a way, this professional is the controller in a control system that acts on the plant (the patient) through the infusion of hypnotic drugs, analgesics and neuromuscular blockers. In addition, the anesthesiologist estimates the state of consciousness, the level of analgesia and the level of neuromuscular blockage through other indirect measures, as well as a state observer.
There are different techniques for direct monitoring of these three anesthesia variables (DoA, NMB and NoL), such as BIS and Narcotrend, but all have some disadvantages, especially when the anesthesia process combines different drugs. This work proposes a new way of evaluating DoA, NMB and NoL using data fusion techniques to combine classical clinical signs with advanced EEG monitoring techniques to provide a decision support system for the anesthesiologist.
Conditions
- Anesthesia
Sponsors & Collaborators
-
University of Sao Paulo
collaborator OTHER -
Fundação de Amparo à Pesquisa do Estado de São Paulo
collaborator OTHER_GOV -
University of Sao Paulo General Hospital
lead OTHER
Principal Investigators
-
Joaquim E Vieira, MD, PhD · University of Sao Paulo School of Medicine
Eligibility
- Min Age
- 1 Month
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-10-31
- Primary Completion
- 2019-12-31
- Completion
- 2020-01-31
Countries
- Brazil
Study Locations
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