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By bringing together the fields of seizure detection and that of Sudden Unexpected Death in Epilepsy (SUDEP), the current project aims at delineating which set of biosensors and related biomarkers would optimally characterize the severity of GTCS and the associated risk of SUDEP.
The main objective is to to evaluate which of the five biosignals considered, being, electrodermal activity (EDA), heart rate (HR), accelerometry (AC), arm-measurement of skin electromyography (EMG), and bed sensing of body movement (BM), or any of their combinations, offers the most accurate detection and quantification of our primary indicator of GTCS-severity, i.e. postictal EEG suppression (PGES).
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| Measure | Description | Time Frame |
|---|---|---|
| duration of PGES | The primary endpoint of the study is the duration of PGES, as defined by a postictal EEG flattening <10microvolt over all scalp-EEG leads (time in seconds). When no PGES is observed, the duration will be coded as 0. This will be used as a dependent variable in the primary analysis. | Through study completion, an average of 4 years |
| Measure | Description | Time Frame |
|---|---|---|
| Type of GTCS | According to our previously published classification. | Through study completion, an average of 4 years |
| GTCS tonic phase duration on video-EEG recording | In seconds |
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Inclusion Criteria:
Exclusion Criteria:
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A cohort of 500 patients with active epilepsy, undergoing Video-EEG monitoring in one of the participating epilepsy centers will be enrolled in this study with the aim to record epileptic seizures for routine clinical, and not primarily research objectives (e.g. presurgical evaluation, other diagnostic purposes). The project population will be composed of adult patients who give informed consent independently as well as of children, and adult patients who lack the capacity to consent to matters concerning their personal health care.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| NeuroDigital@NeuroTech | Lausanne | 1011 | Switzerland |
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| ID | Term |
|---|---|
| D004829 | Epilepsy, Generalized |
| ID | Term |
|---|---|
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| Through study completion, an average of 4 years |
| GTCS clonic phase duration on video-EEG recording | In seconds | Through study completion, an average of 4 years |
| Postictal upper limb immobility duration on video-EEG recording | In seconds | Through study completion, an average of 4 years |
| Postictal whole-body immobility duration on video-EEG recording | In seconds | Through study completion, an average of 4 years |
| Postictal confusion duration on video-EEG recording | In seconds | Through study completion, an average of 4 years |
| Postictal bradycardia presence on Electrocardiogram (EKG) | Yes or No | Through study completion, an average of 4 years |
| Postictal bradycardia duration on EKG | In seconds | Through study completion, an average of 4 years |
| Postictal bradycardia nadir on EKG | Heart rate per minute | Through study completion, an average of 4 years |
| Postictal hypoxemia presence on pulse oxymetry | Yes or No | Through study completion, an average of 4 years |
| Postictal hypoxemia duration on pulse oxymetry | In seconds | Through study completion, an average of 4 years |
| Postictal hypoxemia nadir | Spo2 value in % | Through study completion, an average of 4 years |
| Peri-ictal tachycardia or bradycardia presence | Yes or No | Through study completion, an average of 4 years |
| Peri-ictal tachycardia or bradycardia duration | In seconds | Through study completion, an average of 4 years |
| Peri-ictal tachycardia or bradycardia intensity | Heart rate per minute | Through study completion, an average of 4 years |
| Abnormal heart-rate variability during the interictal period | Inter bits per millisecond | Through study completion, an average of 4 years |