Decomposition of a multiscale entropy tensor for sleep stage identification in preterm infants

Established sleep cycling is one of the main hallmarks of early brain development in preterm infants, therefore, automated classification of the sleep stages in preterm infants can be used to assess the neonate's cerebral maturation. Tensor algebra is a powerful tool to analyze multidimensional...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23944
Acceso en línea:
https://doi.org/10.3390/e21100936
https://repository.urosario.edu.co/handle/10336/23944
Palabra clave:
Cpd
Eeg
Multiscale entropy
Preterm neonate
Sleep staging
Tensor decomposition
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