Seizure Prediction Using Wearable EEG
This study is a non-interventional clinical trial analyzing EEG recordings from people with epilepsy. Participants wear a comfortable EEG headband at home for several weeks. The goal is to study changes in brain activity that occur before seizures (called "pre-ictal patterns") and to test whether a software algorithm c
| Condition(s) | Epilepsy |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | This study is a non-interventional clinical trial analyzing EEG recordings from people with epilepsy. Participants wear a comfortable EEG headband at home for several weeks. The goal is to study changes in brain activity that occur before seizures (called "pre-ictal patterns") and to test whether a software algorithm can predict seizures in real-time based on these patterns. No treatments or medications are being tested. The study will help evaluate whether seizure prediction is possible using wearable EEG devices and can support the development of future tools that give patients early warnings before seizures occur. |
| Who can participate | Inclusion Criteria: * Age: 12 years and older. * Diagnosis of epilepsy confirmed by EEG, with at least one seizure captured during EEG monitoring by a trained expert. * Seizure frequency ranging from once per day to two over the last three months preceding inclusion. * Sufficient cognitive and physical ability (of the participant or caregiver) to comply with the protocol, including device management and data reporting. * Access to and familiarity with a smartphone capable of running the study application as tested during screening. * Willingness to provide informed consent and adhere to study procedures. Exclusion Criteria: * Scalp conditions or physical characteristics preventing proper device fit. * Any technical or logistical challenges that would prevent reliable EEG data collection or |
| Ages | 12 Years |
| Sex | All |
| Lead sponsor | Dux Healthcare Inc. |
| Locations | Haifa, Israel; Ramat Gan, Israel |
| Start date | 2025-06-19 |
| NCT ID | NCT06978842 |
| Official listing | https://clinicaltrials.gov/study/NCT06978842 |