MedTrace Logo

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

NCT05256264 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 90

Last updated 2022-08-17

No results posted yet for this study

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

Interventions

DRUG

Ketamine

Ketamine infusion at different dose to observe EEG DSA changes

Sponsors & Collaborators

  • Taipei Veterans General Hospital, Taiwan

    lead OTHER_GOV

Principal Investigators

  • Chien-Kun Ting, MD, PhD · Taipei Veterans General Hospital, Taiwan

Eligibility

Min Age
20 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-03-01
Primary Completion
2022-12-31
Completion
2022-12-31

Countries

  • Taiwan

Study Locations

More Related Trials

Entities

Drugs

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05256264 on ClinicalTrials.gov