Electroencephalography in the Neonate: Seizure Detectio
- Conditions
- eonatal SeizuresNeonatal SeizuresNeurological - Other neurological disordersReproductive Health and Childbirth - Complications of newborn
- Registration Number
- ACTRN12623000639628
- Lead Sponsor
- Queensland Institute of Medical Research (QIMR) Berghofer
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot yet recruiting
- Sex
- All
- Target Recruitment
- 40
Infants eligible for inclusion are infants born > 35 weeks gestational age and are at risk of seizures, these include infants who have had a seizure, with hypoxic ischaemic encephalopathy (HIE), or have had abnormal movements, with a clinical concern for seizures.
Exclusion criteria will be if the neonatal electrodes are unable to be placed adequately for a recording (e.g. other interfering equipment) or if the prognosis is extremely poor and redirection to palliative care is imminent.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Validation of EEG annotation by a neonatal seizure detection algorithm will be assessed, by comparing these results to the gold standard visual interpretation by the human expert (2 Paediatric Neurologists).[ Cumulative data will be assessed at the conclusion of the data collection period.]
- Secondary Outcome Measures
Name Time Method To determine the accuracy of the seizure detection algorithm across different EEG acquisition machines (is accuracy similar between commercial grade EEG machine and a custom-built EEG machine)[ Cumulative data will be assessed at the conclusion of the data collection period.];Determine the applicability of the seizure detection algorithm i.e. visual assessment of the ability of the algorithm to run in real-time at the cotside.[ Cumulative data will be assessed at the conclusion of the data collection period.]