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.
1. 18-45 years of age
2. Body mass index (BMI) lower or equal to 25 m2/kg
3. Subjects must be able to comprehend spoken and written English
1. Any type of psychiatric, neurological, or neuromuscular disorder
2. Thyroid disease
3. History of smoking
4. Alcohol consumption which exceeds 2 drinks per day and /or drug abuse. Volunteers
will be asked the question: How many drinks are you drinking on your typical day?
5. Allergy to study medication (propofol), soy, or egg proteins.
6. History of drug abuse
7. Chronic or acute use of opioids, or other medications affecting the CNS