Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram
- Conditions
- SeizuresElectrocardiographyEpilepsy
- Registration Number
- NCT03369522
- Lead Sponsor
- University Hospital, Lille
- Brief Summary
The aim of our project is to develop an epileptic seizure detection algorithm based on the the continuous analysis of the Electrocardiogram
- Detailed Description
In a first step, the team will build a multi-parametric algorithm on existing records issued from the Epilepsy Monitoring Units. Each selected record will be analyzed by EMU medical team in order to detect seizure on the EEG. The algorithm will adapt in order to obtain the best sensitivity and specificity regarding seizure detection.
in a second step,algorithm will validate on a cohort of other recordings in patients with epilepsy
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 200
- 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
- bad quality of the Electrocardiogram recording
- pace-maker
- non sinus rhythm
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method ROC curve for seizure detection 24 months ROC curve gives the relation between detection probability and false alarm probability of the algorithm that will be developped
- Secondary Outcome Measures
Name Time Method Time of detection of seizures 24 months Time of detection of seizures by the algorithm
ROC curve for Psychogenic seizure detection 24 months ROC curve for Psychogenic seizure detection
Trial Locations
- Locations (4)
Ch de Valencienne
🇫🇷Valenciennes, France
Chu Amiens Salouël
🇫🇷Salouël, France
Ch Bethune
🇫🇷Béthune, France
Hôpital Roger Salengro, CHU
🇫🇷Lille, France