Epilepsy
Conditions
Brief summary
The researchers are trying to assess changes in physiological signals before and during seizures.
Detailed description
Subjects that are undergoing video EEG monitoring in their home for their epilepsy at Seer Medical will be consented to participate in this study for a minimum of two days and/or the duration of their monitoring period for their clinical care. Subjects will be asked to wear up to 4 different commercially available seizure detection devices and complete surveys. When the subjects clinical EEG monitoring is completed data scientists will analyze the data to identify patterns.
Interventions
DEVICEEpiTel Epilog
EEG recording device
DEVICEEmpatica E4
PPG, sweat level, temperature and accelerometry recording device
DEVICEGENEActiv
Temperature, light level and accelerometry recording device
Sponsors
Seer Medical Pty Ltd
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients with epilepsy undergoing scalp EEG for clinical care, or an implanted device capable of monitoring brain activity and identifying seizures * Patients of age 18 or above
Exclusion criteria
* Cognitive or psychiatric condition rendering patient unable to cooperate with data collection, or manage and recharge smart watch and tablet computer devices.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Multimodal Assessment of Physiological Signals During Seizure Events Measurable with Wearable Sensors | 2-7 days approximately | We will collect physiological signals with the three wearable, noninvasive biosensors in Seer Medical patients undergoing scalp-recorded video EEG-ECG as part of their clinical epilepsy evaluation. These signals include temperature, light level, EEG, heart rate, galvanic skin response, PPG, accelerometry. We will evaluate biosignals based on reliability to detect seizures. |
| Wearable Sensors Comfort Assessment | 2-7 days approximately | We will collect physiological signals with the three wearable, noninvasive biosensors in Seer Medical patients. We will evaluate subject comfort and ease of use for each device, measured through quantitative surveys. |
| Seizure Detection and Prediction using Multimodal Physiological Data | 2-7 days approximately | We will apply data mining and machine learning methods to identify patterns in the collected physiological signals and correlate these patterns with the timing of seizures identified by the patient's clinical video-EEG monitoring. We will use sensitivity and specificity measures to determine which signals are most useful in detecting and predicting seizure events. |
Countries
Australia
Outcome results
None listed