Pediatric epilepsy
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. Physician inclusion criteria (1) EEG data interpretation experience: Senior experienced physicians: physician with 10 years or more experience in EEG data interpretation and who have participated in at least 1,000 pediatric EEG epilepsy diagnoses. 2.EEG data collection personnel standards: EEG collectors from multi-center hospitals are required to receive unified training or further training from the team leader unit and pass professional assessment to ensure the standardization of operation and consistency of data quality of all participating physicians. 3. Data inclusion criteria (1) Target population: children aged between 1 and 18 years old with suspected epilepsy who need EEG examination; (2) Data collection requirements: all EEG data are collected in strict accordance with standardized procedures,Refer to the basic technical standards for clinical EEG in guideline 1 and the basic technical standards for electroencephalogram in children in guideline 3 (see CAAE-Clinical EEG Technical Operation Guide, http://www.caae.org.cn/Public/Uploads/20220118/video/61e6242d78ca7.pdf for details) to ensure that the collected data is clear and complete, which is suitable for follow-up system analysis and research needs.
Exclusion criteria
Exclusion criteria: Data exclusion criteria (1) Influence of clinical status: During EEG acquisition, the child has other serious neurological diseases and psychiatric diseases, and the use of drugs that affect EEG data within 3 weeks, such as sedatives and anti-epileptic drugs, is excluded. (2) Substandard data quality: data lack of key records, electrode connection discontinuity, insufficient recording time, or the presence of serious artifacts, etc., resulting in data that do not have the basic quality of EEG data for analysis and diagnosis will be excluded. (3) Incomplete or missing data; (4) Equipment or Operational Abnormalities: Data for which EEG monitoring has not been performed continuously due to equipment failure or technical operational error will be excluded.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic outcome ("Normal" or "Abnormal");Abnormal waveform type, number and brain discharge site;Accuracy of recognition of absence epilepsy and infantile spasms;Abnormal waveform detection rate, false detection rate, and classification accuracy with and without AI assistance; | — |
Secondary
| Measure | Time frame |
|---|---|
| Diagnostic time;Diagnostic recommendations based on feature waveforms; | — |
Countries
China
Contacts
Kunming Children's Hospital