None listed
Conditions
Brief summary
In this study, we aim to use eyelid movement data collected from a commercial system from Optalert (Optalert Australia Pty Ltd, Melbourne, Australia) in patients with seizures in order to develop models to detect, predict and classify seizures. The device records eyelid and eye movements using an infrared light emitting diode located on a pair of light weight glasses frames. Participants admitted for inpatient video-EEG monitoring across the combined Comprehensive Epilepsy Program at The Alfred Hospital and The Royal Melbourne Hospital will be invited to participate in the study. Participants will wear the glasses during wakefulness throughout the monitoring period, which typically lasts five days. Once the seizure annotations and associated eyelid movements are collected, machine learning shall be used to determine if there is a digital biomarker that can be used to: 1. predict the onset of a seizure, 2. identify the occurrence of a seizure 3. classify the nature of the seizure.
Interventions
Participants admitted for inpatient video-EEG monitoring across the combined Comprehensive Epilepsy Program at The Alfred Hospital and The Royal Melbourne Hospital, and meeting eligibility criteria, will be invited to participate in the study. Enrolled participants will be asked to wear glasses that measure eyelid movements using infrared reflectance oculography. The glasses used are commercially available glasses from Optalert called the Eagle Wireless Glasses. They contain a sensor that meas
Participants admitted for inpatient video-EEG monitoring across the combined Comprehensive Epilepsy Program at The Alfred Hospital and The Royal Melbourne Hospital, and meeting eligibility criteria, will be invited to participate in the study. Enrolled participants will be asked to wear glasses that measure eyelid movements using infrared reflectance oculography. The glasses used are commercially available glasses from Optalert called the Eagle Wireless Glasses. They contain a sensor that measure the eyelid opening and transmit this information 500 times a second to a local data logger. The glasses have the option to fit prescription lenses where required. The local data logger transfers the data to a central storage server. Participants will wear the glasses during wakefulness throughout the monitoring period, which typically lasts five days. They will be monitored by hospital staff to ensure they are wearing the glasses when possible, the storage server can also be remotely monitored to ensure data is being collected and devices are sufficiently charged.
Sponsors
Otpalert
Study design
Allocation
Non-randomised trial
Intervention model
Single group
Primary purpose
Diagnosis
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
• Is able to provide personally signed and dated informed consent to participate in the study or will have a legally authorized representative sign the informed consent on his or her behalf before completing any study related procedures. • Male or female (aged 18 years or older). • Possible diagnosis of epilepsy or non-epileptic events and admitted for inpatient video-EEG monitoring. • Participants with prescription glasses who can produce a valid lens prescription and can be filled using the standard set of prescription lenses available.
Exclusion criteria
Participants with prescription glasses who cannot produce a valid lens prescription or have a complex lens prescription that cannot be filled using the standard set of prescription lenses available.
Outcome results
None listed