Complexity analysis of neonatal EEG using multiscale entropy: applications in brain maturation and sleep stage classification

Automated analysis of the electroencephalographic (EEG) data for the brain monitoring of preterm infants has gained attention in the last decades. In this study, we analyze the complexity of neonatal EEG, quantified using multiscale entropy. The aim of the current work is to investigate how EEG comp...

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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:10336/27401

Acceso en línea:

https://doi.org/10.3390/e19100516
https://repository.urosario.edu.co/handle/10336/27401

Palabra clave:

Brain maturation
Complexity
Ultiscale entropy
Neonatal EEG
Sleep stage classification

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