Improved neonatal seizure detection using adaptive learning

In neonatal intensive care units performing continuous EEG monitoring, there is an unmet need for around-the-clock interpretation of EEG, especially for recognizing seizures. In recent years, a few automated seizure detection algorithms have been proposed. However, these are suboptimal in detecting...

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Autores:
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/28672
Acceso en línea:
https://doi.org/10.1109/EMBC.2017.8037441
https://repository.urosario.edu.co/handle/10336/28672
Palabra clave:
Pediatrics
Detectors
Electroencephalography
Feature extraction
Monitoring
Training
Sensitivity
Rights
License
Restringido (Acceso a grupos específicos)