View clinical trials related to Epilepsy; Seizure.
Filter by:The goal of this interventional study is to develop a personalized seizure risk forecast tool in people with epilepsy. The main questions it aims to answer are: - can we develop a future seizure probabilities tool that is more accurate than chance based on the pattern and frequency of previous generalized tonic-clonic seizure (GTCS) events, as well as changes in physiological and behavioral variables. - does this tool improve the lives of people with epilepsy? Researchers will compare a group that does not have access to the forecast tool to a group that does and see if it is accurate and if people with it report that it improved their quality of life.
Epilepsy is a disabling neurological disease that affects tens of millions of people worldwide. Despite therapeutic advances, about a third of these patients suffer from treatment-resistant forms of epilepsy and still experience regular seizures.All seizures can last and lead to status epilepticus, which is a major neurological emergency. Epilepsy can also be accompanied with cognitive or psychiatric comorbidities. Reliable seizures count is an essential indicator for estimating the care quality and for optimizing treatment. Several studies have highlighted the difficulty for patients to keep a reliable seizure diary due for example to memory loss or perception alterations during crisis. Whatever the reasons, it has been observed that at least 50% of seizures are on average missed by patients. Seizure detection has been widely developed in recent decades and are generally based on physiological signs monitoring associated with biomarkers search and coupled with detection algorithms. Multimodal approaches, i.e. combining several sensors at the same time, are considered the most promising. Mobile or wearable non invasive devices, allowing an objective seizures documentation in daily life activities, appear to be of major interest for patients and care givers, in detecting and anticipating seizures occurence. This single-arm exploratory, multicenter study aims at assessing whether the use of such a non-invasive, wearable device can be useful in a real life setting in detecting seizures occurence through multimodal analysis of various parameters (heart rate, respiratory and accelerometry).