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AI-assisted cEEG Diagnosis of Neonatal Seizures in Neonatal Intensive Care Unit

NCT04991779 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2023-12-29

No results posted yet for this study

Summary

A diagnostic accuracy study on Artificial intelligence assisted continue EEG diagnostic tool is to carried out comparing with manually EEG interpretation as the golden standard for neonatal seizure.

Conditions

  • Neonatal Seizure

Interventions

DIAGNOSTIC_TEST

AI-assisted cEEG detection tool

This study is an observational study to evaluate the accuracy of AI-assisted cEEG diagnostic tool with routine care. All patients from the cohort accept cEEG monitoring and AI-assisted cEEG detection tool. The tool included a quantitive EEG neural signal processing pipeline to extract features from the original signal datasets, machine learning models based on gradient boosted model for prediction. The reference standard is the electrographic seizures interpreted by 3 clinicians who had attended the uniformly training program and were certified by the Chinese Anti-Epilepsy Association.

Sponsors & Collaborators

  • Chengdu Women's and Children's Central Hospital

    collaborator OTHER

  • Xiamen Children's Hospital

    collaborator OTHER

  • Kunming Children's Hospital

    collaborator OTHER

  • Children's Hospital of Fudan University

    lead OTHER

Principal Investigators

  • Wenhao Zhou, Ph.D · Children's Hospital of Fudan University

Eligibility

Min Age
0 Days
Max Age
28 Days
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-16
Primary Completion
2022-05-16
Completion
2022-05-16

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04991779 on ClinicalTrials.gov