None listed
Conditions
Brief summary
The primary objective of this study is to use machine learning methods to examine autonomic, cardiorespiratory and sleep function in patients with epilepsy to determine whether this data can be used to detect seizures. We will also examine seizure classification and prediction as secondary objectives using the same approach. We will examine whether autonomic, cardiorespiratory and sleep function can be used to differentiate between epileptic seizures and non-epileptic events. Further, we will also examine the prevalence and risk-factors for sleep-disordered breathing in patients who undergo video-EEG monitoring.
Interventions
This is a single-center, prospective, observational post-market study using a Class IIa medical device (“GraelPSG”), developed by Compumedics Limited, which non-invasively measures multiple physiological parameters including heart, muscle, eye movements, breathing and body movements. Adult participants (aged 18 years old or older) admitted for inpatient video-EEG monitoring to the Comprehensive Epilepsy Program at The Alfred Hospital, meeting eligibility criteria will be invited to participate i
This is a single-center, prospective, observational post-market study using a Class IIa medical device (“GraelPSG”), developed by Compumedics Limited, which non-invasively measures multiple physiological parameters including heart, muscle, eye movements, breathing and body movements. Adult participants (aged 18 years old or older) admitted for inpatient video-EEG monitoring to the Comprehensive Epilepsy Program at The Alfred Hospital, meeting eligibility criteria will be invited to participate in the study. Enrolled participants will undergo polysomnography on the final day of their video-EEG monitoring admission. This involves application of the following additional sensors: respiratory inductance plethysmography thoracic and abdominal bands, pulse oximetry to assess peripheral capillary oxygen saturation levels, nasal pressure, electrooculography, electromyography electrodes to the mentalis and sub-mentalis, and dual electromyography electrodes to each anterior tibialis. Equipment will be worn for a maximum of 24 hours in duration. Autonomic, cardiorespiratory, brain and sleep function will be analysed.
Sponsors
Alfred Health
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
• Can provide personally signed and dated informed consent to participate in the study 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.
Exclusion criteria
• Patients who are on CPAP treatment during the monitoring period.
Outcome results
None listed