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Trial registered on ANZCTR
Registration number
ACTRN12621000923864p
Ethics application status
Submitted, not yet approved
Date submitted
17/05/2021
Date registered
15/07/2021
Date last updated
15/07/2021
Date data sharing statement initially provided
15/07/2021
Type of registration
Prospectively registered
Titles & IDs
Public title
Routine cardiorespiratory and sleep monitoring in an epilepsy monitoring unit
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Scientific title
Routine cardiorespiratory and sleep monitoring during video-electroencephalogram (EEG) monitoring: A polysomnography study
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Secondary ID [1]
304240
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None
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Universal Trial Number (UTN)
None
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Trial acronym
None
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Linked study record
None
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Health condition
Health condition(s) or problem(s) studied:
epilepsy
321941
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non-epileptic seizures
322288
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psychogenic non-epileptic seizures (PNES)
322289
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Condition category
Condition code
Neurological
319672
319672
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0
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Epilepsy
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
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.
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Intervention code [1]
320571
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Early Detection / Screening
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Comparator / control treatment
None
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
327548
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T0 analyse cardiac, respiratory, sleep polysomnography physiological data during (ictal) and around (interictal) seizures for seizure detection, using machine learning models. Various features including unprocessed data (e.g., raw electrocardiogram signals) and descriptive data (e.g., median heart rate) data be explored; all physiological variables will be assessed as a composite outcome.
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Assessment method [1]
327548
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Timepoint [1]
327548
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This is a cross-sectional study. Data collected during the final day of admission of video-EEG monitoring where polysomnography has been applied, will be analysed.
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Secondary outcome [1]
395621
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T0 analyse cardiac, respiratory, sleep polysomnography physiological data during (ictal) and around (interictal) seizures for seizure prediction, using machine learning models to understand temporal and spatial changes to predict seizures. Various features including unprocessed data (e.g., raw electrocardiogram signals) and descriptive data (e.g., median heart rate) data be explored; all physiological variables will be assessed as a composite outcome.
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Assessment method [1]
395621
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Timepoint [1]
395621
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This is a cross-sectional study. Data collected during the final day of admission of video-EEG monitoring where polysomnography has been applied, will be analysed.
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Secondary outcome [2]
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To determine the prevalence of moderate-to-severe sleep-disordered breathing (as defined as an apnea-hypopnea (AHI) index of 15 or more) in patients admitted for video-EEG monitoring using polysomnography.
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Assessment method [2]
395622
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Timepoint [2]
395622
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This is a cross-sectional study. Data collected during the final day of admission of video-EEG monitoring where polysomnography has been applied, will be analysed.
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Secondary outcome [3]
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To examine sleep efficacy measurements (e.g., % non-REM sleep) in patients admitted for video-EEG monitoring using polysomnography.
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Assessment method [3]
395623
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Timepoint [3]
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This is a cross-sectional study. Data collected during the final day of admission of video-EEG monitoring where polysomnography has been applied, will be analysed.
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Eligibility
Key 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.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
• Patients who are on CPAP treatment during the monitoring period.
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Study design
Purpose
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Duration
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Selection
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Timing
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Statistical methods / analysis
Classification models will be used to predict epochs that contain seizures, are precursors to seizure onset and distinguishing epileptic seizures from non-epileptic seizures.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
26/07/2021
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Actual
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Date of last participant enrolment
Anticipated
27/07/2026
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Actual
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Date of last data collection
Anticipated
4/01/2027
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Actual
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Sample size
Target
1200
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
VIC
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Recruitment hospital [1]
19467
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The Alfred - Melbourne
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Recruitment postcode(s) [1]
34059
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3004 - Melbourne
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Victorian Medical Research Acceleration Fund
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Address [1]
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Victorian Medical Research Acceleration Fund
Department of Health and Human Services
50 Lonsdale Street
Melbourne, 3000
Victoria
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Country [1]
308617
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Australia
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Primary sponsor type
Hospital
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Name
Alfred Health
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Address
Department of Neurology
Level 4 (Central Block)
The Alfred Hospital
55 Commercial Road
Melbourne, VIC 3004
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Country
Australia
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Secondary sponsor category [1]
309486
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None
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Name [1]
309486
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Address [1]
309486
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Country [1]
309486
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Ethics approval
Ethics application status
Submitted, not yet approved
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Ethics committee name [1]
308549
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Alfred Hospital Ethics Committee (NHMRC Code EC00315)
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Ethics committee address [1]
308549
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Professor John McNeil Chair of Ethics Committee Alfred Hospital Ethics Committee The Alfred Hospital 55 Commercial Road Melbourne 3004 Victoria, Australia
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Ethics committee country [1]
308549
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Australia
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Date submitted for ethics approval [1]
308549
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05/03/2021
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Approval date [1]
308549
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Ethics approval number [1]
308549
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Summary
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.
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Trial website
None
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Trial related presentations / publications
None
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Public notes
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Contacts
Principal investigator
Name
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Dr Shobi Sivathamboo
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Address
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Level 4 (Centre Block)
Department of Neurology
The Alfred Hospital
55 Commercial Road
Melbourne 3004
Victoria, Australia
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Country
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Australia
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Phone
111098
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+61 3 9903 0924
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Fax
111098
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Email
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[email protected]
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Contact person for public queries
Name
111099
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Shobi Sivathamboo
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Address
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Level 4 (Centre Block)
Department of Neurology
The Alfred Hospital
55 Commercial Road
Melbourne 3004
Victoria, Australia
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Country
111099
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Australia
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Phone
111099
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+61 3 9903 0924
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Fax
111099
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Email
111099
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[email protected]
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Contact person for scientific queries
Name
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Shobi Sivathamboo
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Address
111100
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Level 4 (Centre Block)
Department of Neurology
The Alfred Hospital
55 Commercial Road
Melbourne 3004
Victoria, Australia
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Country
111100
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Australia
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Phone
111100
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+61 3 9903 0924
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Fax
111100
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Email
111100
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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