Epilepsy Clinical Trial
— EPICARDOfficial title:
Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram
The aim of our project is to develop an epileptic seizure detection algorithm based on the the continuous analysis of the Electrocardiogram
Status | Recruiting |
Enrollment | 200 |
Est. completion date | December 2021 |
Est. primary completion date | December 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - patients with epilepsy - with a long-term video-EEG recording - 1 (or more) seizure (s) recorded - onset seizure clearly defined on the basis of the EEG Exclusion Criteria: - bad quality of the Electrocardiogram recording - pace-maker - non sinus rhythm |
Country | Name | City | State |
---|---|---|---|
France | Ch Bethune | Béthune | |
France | Hôpital Roger Salengro, CHU | Lille | |
France | Chu Amiens Salouël | Salouël | |
France | Ch de Valencienne | Valenciennes |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Lille |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | ROC curve for seizure detection | ROC curve gives the relation between detection probability and false alarm probability of the algorithm that will be developped | 24 months | |
Secondary | Time of detection of seizures | Time of detection of seizures by the algorithm | 24 months | |
Secondary | ROC curve for Psychogenic seizure detection | ROC curve for Psychogenic seizure detection | 24 months |
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