RECRUITING

De-identified UNMH EEG Corpus Database Creation With Fully De-identified Clinical Information

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Conditions

EpilepsyStatus EpilepticusSeizures

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Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

This proposal outlines the steps required for the creation of a pilot database of EEG recordings and de-identified medical records from patients internally referred within the UNMH Comprehensive Epilepsy Center. The UNMH EEG Corpus would be the first database of its kind. Other public databases contain either patient EEG signals or medical records, but without both kinds of information, it is impossible to relate pre-treatment neurobiomarkers with post-treatment prognosis. The database will also contain information that can improve seizure localization based off of scalp and intracranial EEG, and the requisite data for the creation of algorithms that forecast seizure activity; a development that could ultimately lead to novel responsive neural stimulation procedures that suppress seizures before they begin.

Official Title

The Creation of a Pilot Database of EEG Recordings and de- Identified Medical Records From Patients Internally Referred Within the UNMH Comprehensive Epilepsy Center

Quick Facts

Study Start:2021-10-11
Study Completion:2030-12-31
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT05140265

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:18 Years
Sexes Eligible for Study:ALL
Accepts Healthy Volunteers:No
Standard Ages:ADULT, OLDER_ADULT
Inclusion CriteriaExclusion Criteria
  1. * We will screen with UNMH EEG database, Nihon Kohden Neuroworkbench first. After meeting all the inclusion and exclusion criteria, we will access the Cerner Powerchart (UNMH EMR) for the rest of the clinical information.
  2. * 18 years old or older. If the patient's age is over 89, we will aggregated them to age 90 or older so that the patient cannot be identified. Also, all the EEG data will be de-identified and only show the year of the study performed instead of the exact study date to reduce the risk of identification. Of note, we perform over few thousands of EEG studies per year and it will be almost impossible to identify the patient based on the study year.
  1. * Children under age of 18 years old will be excluded.
  2. * Mismatched patients between EEG database and EMR

Contacts and Locations

Study Locations (Sites)

University of New Mexico Health Science
Albuquerque, New Mexico, 87106
United States

Collaborators and Investigators

Sponsor: University of New Mexico

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2021-10-11
Study Completion Date2030-12-31

Study Record Updates

Study Start Date2021-10-11
Study Completion Date2030-12-31

Terms related to this study

Additional Relevant MeSH Terms

  • Epilepsy
  • Status Epilepticus
  • Seizures