The Creation of a Pilot Database of EEG Recordings and de- Identified Medical Records From Patients Internally Referred Within the UNMH Comprehensive Epilepsy Center
University of New Mexico
Summary
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.
Description
Retrospective De-identified EEG and Clinical Database Creation: The proposed database (UNMH EEG corpus) will be created in stages and designed to increase in complexity and functionality given future funding and tool development. The initial scope for this project includes the construction of a relational database that links patient demographic data (medical records, EEG study number, date of birth) which will be linked to the study number. This list will be kept for 6 years from the completion of study and will be stored in locked office cabinet as a paper form (source documentation) and pas…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * 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. * 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…
Location
- University of New Mexico Health ScienceAlbuquerque, New Mexico