A multi‐feature method for real‐time seizure detection in pediatric intensive care unit
We developed a computer program that helps doctors quickly detect seizures in critically ill children by analyzing brain activity, muscle movements, and heart rate signals. The system was designed specifically for the challenging environment of pediatric intensive care units, where timely seizure detection is particularly important but often difficult. The program reliably identified seizures that showed both brain activity and physical signs, matching doctors' diagnoses. This technology marks an important step toward better monitoring and care for critically ill children with seizures.
Authors
- Yu Lei (ORCID: https://orcid.org/0000-0002-8634-2663)
- Jiong Deng (ORCID: https://orcid.org/0000-0002-5259-8206)
- Yuxiang Yan
- Bo Hong (ORCID: https://orcid.org/0000-0003-2900-6791)
- Ying Wang (ORCID: https://orcid.org/0000-0001-9157-8622)
- Qi Zhang (ORCID: https://orcid.org/0000-0003-0235-1333)
- Ningning Wei (ORCID: https://orcid.org/0000-0002-6983-8982)
- Tian Sang (ORCID: https://orcid.org/0000-0001-7417-1054)
- Tong Zhao (ORCID: https://orcid.org/0000-0003-4119-7981)
- Qiao Guan
Institutions
- Peking University (CN)
- Czech Academy of Sciences, Institute of Hydrology (CZ)
- Peking University First Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Epilepsia Open
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1002/epi4.70171
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00