Computational Decision Support in Epilepsy Using Retrospective EEG
NCT05384782 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 825
Last updated 2022-05-20
Summary
The primary aim is to validate a set of computational biomarkers as potential decision support in epilepsy on a large cohort of study participants that were diagnosed with epilepsy and controls that ended up with another diagnosis (such as syncope or non-epileptic seizures). The goal is to examine if the methodology works robustly on this large cohort, and can theoretically contribute to the reduction of misdiagnosis rates.
The secondary aim is to examine whether the computational biomarkers could contribute to reducing the waiting time and the number of clinical appointments needed before a final diagnosis is made.
Conditions
Sponsors & Collaborators
-
Neuronostics Ltd
collaborator INDUSTRY -
Cornwall Partnership NHS Foundation Trust
lead NETWORK
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-12-01
- Primary Completion
- 2021-12-31
- Completion
- 2022-03-31
Countries
- United Kingdom
Study Locations
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