Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram
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
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
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