Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos

The aim of this work was to develop a new unsupervised exploratory method of characterizing feature extraction and detecting similarity of movement during sleep through actigraphy signals. We here propose some algorithms, based on signal bispectrum and bispectral entropy, to determine the unique fea...

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Detalles Bibliográficos
Autores principales: Iglesias Martínez, Miguel Enrique, García-Gomez, Juan M., Sáez, Carlos, Fernández de Córdoba, Pedro, Alberto Conejero, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308588/
https://www.ncbi.nlm.nih.gov/pubmed/30563277
http://dx.doi.org/10.3390/s18124310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308588/
https://www.ncbi.nlm.nih.gov/pubmed/30563277
http://dx.doi.org/10.3390/s18124310

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