Ketamine molecule:

Image from PubChem

Ketamine Clinical Trials


Machine-learning Algorithm to Differentiate Intraoperative Ketamine Dosing Based on Electroencephalographic Density Spectrum Array Analysis


To see complete record on clinicaltrials.gov, please visit this link

Id: NCT05256264

Organisation Name: Taipei Veterans General Hospital, Taiwan

Overal Status: Recruiting

Start Date: March 1, 2022

Last Update: August 17, 2022

Lead Sponsor: Taipei Veterans General Hospital, Taiwan

Brief Summary: Ketamine is widely used in the setting of multimodal general anesthesia, and the Electroencephalographic density spectral array (DSA) monitoring has been implemented in the practice of anesthesia. The purpose of this study is to investigate the dose-response EEG changes in patients during the perioperative period when ketamine is used. With the application of machine-learning algorithm, we aim to interpret the ketamine dosing precisely and accurately, based on the DSA obtained.

Conditions:
  • Electroencephalographic Density Spectrum Array Analysis
  • Density Spectrum Array
  • Ketamine
  • Multimodal General Anesthesia


Total execution time in seconds: 0.9717128276825