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

U

University Hospital, Lille

Status

Completed

Conditions

Seizures
Epilepsy
Electrocardiography

Study type

Observational

Funder types

Other

Identifiers

NCT03369522
2017-A00114-49 (Other Identifier)
2015_69

Details and patient eligibility

About

The aim of our project is to develop an epileptic seizure detection algorithm based on the the continuous analysis of the Electrocardiogram

Full 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

Enrollment

40 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

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

Trial design

40 participants in 2 patient groups

Construction
Description:
100 recordings that will be used for the algorithm development
Validation
Description:
100 recordings for the validation of the algorithm

Trial contacts and locations

4

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Central trial contact

William Szurhaj, MD,PhD

Data sourced from clinicaltrials.gov

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