Creation of a Pilot Database of EEG Recordings and De-identified Medical Records for Patients at UNMH Comprehensive Epilepsy Center

What this Trial Is About

This research aims to create a unique pilot database combining EEG recordings and de-identified medical records from patients referred within the UNMH Comprehensive Epilepsy Center. This database will link pre-treatment neurobiomarkers with post-treatment outcomes to better understand seizure localization and develop algorithms that could predict seizure activity. The project focuses on patients with epilepsy, status epilepticus, or seizures and is designed as an observational study without direct patient interaction. The database will be built in stages, starting with a relational system linking patient demographic data to EEG study numbers and dates of birth, securely stored both electronically and physically. De-identified clinical reports, EEG metadata, and clinical EEG data will be included, all linked by a study number without personal health information. Future expansions may add seizure annotations, medication histories, treatment outcomes, and imaging data like MRI, MEG, and PET scans. Data collection will cover records from 2007 to 2027, updated annually. Participants are adults aged 18 years or older who had EEG performed and follow-up assessments at UNMH. The study involves extracting and de-identifying clinical notes and EEG data, which will be stored securely and accessed only by authorized personnel. Researchers will measure the completeness of the UNMH EEG Corpus covering 2007 to 2027. No video EEG data or direct patient contact is involved, and all data will be anonymized to protect privacy.

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