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Rosario Barranco, Fiorella Caputo, Andrea Molinelli...
https://pubmed.ncbi.nlm.nih.gov/32090969/Actively Recruiting
Led by Felicia Chu · Updated on 2025-10-28
40
Participants Needed
2
Research Sites
261 weeks
Total Duration
Researchers are evaluating a new wearable device called the Ear-Seizure Detection Device EarSD designed to detect and predict epileptic seizures. This study aims to validate how accurately the EarSD device records seizures compared to the standard video-electroencephalogram video-EEG monitoring used in the Epilepsy Monitoring Unit EMU. The goal is also to see if the device offers more comfort, is less intrusive during daily activities, and provides additional insights into seizure control for patients with epilepsy. Participants admitted to the EMU who are undergoing continuous video 21-electrode EEG and electrocardiogram ECG monitoring will wear the EarSD device simultaneously. The EarSD is an ear-worn device that records multiple signals including EEG, electromyogram, electrooculogram, photoplethysmogram, electrodermoactivity, and inertial motion data. There is no randomization all enrolled patients will use the device during their EMU stay. Daily skin checks and electrode replacements will be done as needed, and the device will be removed at the end of the study period. During the study, participants will be monitored for an average of 7 days while wearing the EarSD and undergoing standard video-EEG monitoring. Researchers will assess seizure detection accuracy and prediction capabilities over a longer term, up to 5 years, and analyze data interpretation for up to 2 years. Participants will also complete a short survey about their experience wearing the device. Safety monitoring includes daily skin assessments to check for irritation, ensuring participant comfort throughout the study.
CONDITIONS
Ear-Seizure Detection (EarSD) Study
S
Stephanie Stephens
C
Charles Hill
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Felicia Chu
Lead Sponsor
University of Massachusetts, Amherst
Collaborating Sponsor
This table compares participation in this trial with other options available for this condition. The information is drawn from published research and the trial’s study details and is provided for educational purposes only.
| Factors | Ear-SD multimodal ear-worn device | Standard scalp EEG with video and ECG |
|---|---|---|
| What is this method? | A compact ear-worn device combining EEG, EMG, EOG, PPG, EDA and IMU sensors to continuously monitor brain activity and physiological signals. It uses sticker electrodes connected to the scalp and is designed for wearable seizure detection. | Continuous inpatient scalp EEG monitoring uses a 21-channel electrode cap positioned across the head, video recording, and ECG to capture electrical brain signals for seizure diagnosis and monitoring. |
| Role in study | The investigational device's performance in detecting and recording seizures is compared against the clinical reference standard in admitted epilepsy patients. | Serves as the reference standard and comparator to evaluate new seizure detection approaches; its data are used as the clinical truth for accuracy measurement. |
| Primary clinical use | Designed for continuous, wearable seizure detection and monitoring. Intended to improve patient mobility while identifying seizure events. | Used to diagnose and monitor seizures accurately in the hospital setting, forming the basis for treatment and management decisions. |
| How is it performed? | Device is placed on the ears with scalp sticker electrodes. It records multiple physiological signals without requiring a full-head cap. | Technicians apply a 21-channel cap to the scalp and connect video and ECG leads. Monitoring occurs over several days in the hospital. |
| Evidence maturity | Clinical trial evidence for this device is still emerging, and no published results on diagnostic performance are yet available. | Continuous scalp EEG is supported by extensive literature as the gold standard for inpatient seizure monitoring, with established detection reliability and accuracy. |
| Important limitations | The investigational device's accuracy and reliability are not yet validated in published studies. Comfort, usability for extended periods, and false positive rate remain to be established. No results have been posted or published. | Standard scalp EEG requires hospital admission, full electrode cap placement, and multiple leads. Limited mobility and intrusiveness are noted. Machine learning studies have explored the use of fewer electrodes but typically at the cost of some accuracy. |
Disclaimer: This comparison is created with the help of artificial intelligence(AI) and may contain errors or missing information. It is not medical advice and does not mean one option is better or safer than another. Clinical trials are still being studied, and joining a trial is your choice. Please consult your healthcare professional before making any decisions.
You may qualify if you...
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Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Approximately 7 days
Participants wear the Ear-SD device simultaneously with continuous video EEG and ECG monitoring to assess seizure detection accuracy.
Continuous monitoring during hospital stay with daily skin assessments and electrode replacements as needed
Duration - Up to 5 years
Data interpretation and seizure prediction analysis are conducted using collected data over an extended period.
Periodic assessments depending on data analysis schedule
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
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https://pubmed.ncbi.nlm.nih.gov/37370634/Felicia Chu
Lead Sponsor
University of Massachusetts, Amherst
Collaborating Sponsor