Ear-Seizure Detection (EarSD) Study
Real-time Seizure Detection, Classification, and Prediction Using a Low-Cost Low-Burden Ear-worn System
Felicia Chu
40 participants
Apr 3, 2025
INTERVENTIONAL
Conditions
Summary
The proposed study is an investigator-initiated study that aims to measure the accuracy of a wearable seizure detection and prediction device (Ear-Seizure Detection Device (EarSD)) by simultaneous recording with conventional video-EEG (Electroencephalogram) on patients with epileptic seizures in the Epilepsy Monitoring Unit of the hospital.
Eligibility
Inclusion Criteria4
- Age ≥ 18 years.
- Patients admitted to UMass Memorial Epilepsy Monitoring Unit (EMU) for long term video-EEG monitoring as part of standard care of both focal and generalized epilepsy.
- Willing to wear the wearable device.
- Ability to provide informed consent
Exclusion Criteria8
- Subjects wearing other ear devices such as hearing aids.
- Inability or unwillingness to provide informed consent.
- Irritation of the skin where the device is to be placed.
- Patients with intracranial electrodes placement.
- Prisoners
- Cognitive impaired individuals
- Pregnant Women
- Children (Age 0-17)
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Interventions
The Ear-SD is a purely EEG recording device Continuous Electroencephalogram (cEEG), Electromyogram (EMG), Electrooculogram (EOG), Photoplethysmogram (PPG), Electrodermoactivity (EDA), and Inertial Measurement Unit (IMU). The Ear-SD device rests on the ears and connects to the scalp by two sticker electrodes.
Standard 21-channel scalp-continuous electroencephalogram (cEEG) with video recording and electrocardiogram (ECG)
Locations(2)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06598189