Seizure Prediction Using Wearable EEG
NCT06978842 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150
Last updated 2025-08-26
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.
Conditions
Interventions
- DEVICE
-
Wearable EEG headband for passive brain signal acquisition
This intervention involves the use of non-invasive, consumer-grade wearable EEG headbands to passively record brain activity from individuals with epilepsy in their natural home environments. The devices include BrainBit Headband, BrainBit Mindo, BrainBit Headphones, Muse 2, and Muse S. These devices transmit EEG signals via Bluetooth to a mobile application developed by the sponsor. The app provides real-time feedback on signal quality and securely uploads data to the cloud for offline analysis. The wearable devices are used solely for passive data acquisition and are not being evaluated for safety or therapeutic effectiveness in this study. No changes are made to clinical care or treatment.
Sponsors & Collaborators
-
rs-ness
collaborator UNKNOWN -
Dux Healthcare Inc.
lead INDUSTRY
Eligibility
- Min Age
- 12 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-06-19
- Primary Completion
- 2026-03-31
- Completion
- 2026-03-31
Countries
- Israel
Study Locations
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