Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram (EPICARD)
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. |
| ClinicalTrials.gov Identifier: NCT03369522 |
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Recruitment Status :
Recruiting
First Posted : December 12, 2017
Last Update Posted : September 11, 2020
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| Condition or disease |
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| Seizures Epilepsy Electrocardiography |
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
| Study Type : | Observational |
| Estimated Enrollment : | 200 participants |
| Observational Model: | Cohort |
| Time Perspective: | Prospective |
| Official Title: | Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram |
| Actual Study Start Date : | December 13, 2017 |
| Estimated Primary Completion Date : | December 2021 |
| Estimated Study Completion Date : | December 2021 |
| Group/Cohort |
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Construction
100 recordings that will be used for the algorithm development
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Validation
100 recordings for the validation of the algorithm
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- ROC curve for seizure detection [ Time Frame: 24 months ]ROC curve gives the relation between detection probability and false alarm probability of the algorithm that will be developped
- Time of detection of seizures [ Time Frame: 24 months ]Time of detection of seizures by the algorithm
- ROC curve for Psychogenic seizure detection [ Time Frame: 24 months ]ROC curve for Psychogenic seizure detection
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| Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
| Sexes Eligible for Study: | All |
| Accepts Healthy Volunteers: | No |
| Sampling Method: | Non-Probability Sample |
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
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03369522
| Contact: William Szurhaj, MD,PhD | 320 44 60 74 ext +33 | william.szurhaj@chru-lille.fr |
| France | |
| Ch Bethune | Recruiting |
| Béthune, France | |
| Principal Investigator: Isabelle LAVENU, MD | |
| Hôpital Roger Salengro, CHU | Recruiting |
| Lille, France | |
| Principal Investigator: William SZURHAJ, MD | |
| Chu Amiens Salouël | Recruiting |
| Salouël, France | |
| Principal Investigator: Bertille PERRIN, MD | |
| Ch de Valencienne | Recruiting |
| Valenciennes, France | |
| Principal Investigator: Marie-Pierre PERRIOL, MD | |
| Principal Investigator: | William Szurhaj, MD,PhD | University Hospital, Lille |
| Responsible Party: | University Hospital, Lille |
| ClinicalTrials.gov Identifier: | NCT03369522 |
| Other Study ID Numbers: |
2015_69 2017-A00114-49 ( Other Identifier: ID-RCB number, ANSM ) |
| First Posted: | December 12, 2017 Key Record Dates |
| Last Update Posted: | September 11, 2020 |
| Last Verified: | September 2020 |
| Studies a U.S. FDA-regulated Drug Product: | No |
| Studies a U.S. FDA-regulated Device Product: | No |
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seizure detection |
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Epilepsy Seizures Brain Diseases |
Central Nervous System Diseases Nervous System Diseases Neurologic Manifestations |

