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NCT04647825: NEED

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

Status unknown Last updated 8 April 2022
What this trial tests

trial testing Collection of data from non-invasive epilepsy monitoring in Automatic Seizure Detection in 200 participants. Status unknown.

Timeline
1 April 2021
Primary endpoint
31 December 2022
30 January 2023

Quick facts

Lead sponsorNeuromed IRCCS
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment200
Start date1 April 2021
Primary completion31 December 2022
Estimated completion30 January 2023
Sites1 location across Italy

Drugs / interventions tested

Conditions studied

Sponsor

Neuromed IRCCS

Who can join

18 and older, any sex, with Automatic Seizure Detection. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Neuromed IRCCS trials

Trials by the same sponsor.

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Data sources for this page

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