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Epileptic seizure detection by neural network architecture based on semiology of video recording

Epileptic seizure detection by neural network architecture based on semiology of video recording

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR1800014891
Enrollment
Unknown
Registered
2018-02-07
Start date
2018-03-01
Completion date
Unknown
Last updated
2018-03-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Epilepsy

Interventions

Two groups:using video recording to construct an artificial intelligent program for the recognition of epileptic seizures, One epileptic seizure episode per subject, versus 40 video recording without

Sponsors

The Chinese University of Hong Kong
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Subjects are aged or above 18 years old; 2. Subjects are diagnosed with epilepsy; 3. Subjects who completed a video recording; 4. Subjects are able to give an informed consent.

Exclusion criteria

Exclusion criteria: No captured event has been found in the video recording

Design outcomes

Primary

MeasureTime frame
Model validation;—

Secondary

MeasureTime frame
Detection latency;—

Countries

China

Contacts

Public ContactHo Wan Leung

Division of Neurology, The Chinese University of Hong Kong

Howanleung@cuhk.edu.hk+852 3505 3856

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026