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NEED: Neuromed Epilepsy EEG Database. A Large EEG Database of Epilepsy Patients for Research Community.

NCT04647825 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2022-04-08

No results posted yet for this study

Summary

For one-third of patients with drug-resistant epilepsy alternative approaches must be investigated in order to improve the quality of their life. A possible approach is to find automatic methods to detect/predict seizures, in order to adopt interventional actions to stop or abort the seizure or to limit its side effect. The main problem in this case is to evaluate the reproducibility of such methods and to standardize them, because there is a lack of availability of long-term electroencephalography (EEG) data. In this study we want to create a large long-term EEG database, called NEED (Neuromed Epilepsy EEG Database), whos aim is to give researchers a way to test their method in a large collection of data. The database will contain long-term EEG recordings of 200 patients as well as extensive metadata and standardized annotation of the data sets and will be made freely available for the download to the research community.

Conditions

  • Automatic Seizure Detection

Interventions

OTHER

Collection of data from non-invasive epilepsy monitoring

Creation of a large long-term EEG database for seizure detection/prediction

Sponsors & Collaborators

  • Neuromed IRCCS

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-01
Primary Completion
2022-12-31
Completion
2023-01-30

Countries

  • Italy

Study Locations

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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 NCT04647825 on ClinicalTrials.gov