Iglesias-Martinez, ME.; Garcia-Gomez, JM.; Sáez Silvestre, C.; Fernández De Córdoba, P.; Conejero, JA. (2018). 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. Sensors. 18(12):4310-1-4310-17. https://doi.org/10.3390/s18124310
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/122927
Title:
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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
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Author:
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Iglesias-Martinez, Miguel Enrique
Garcia-Gomez, Juan M
Sáez Silvestre, Carlos
Fernández de Córdoba, Pedro
Conejero, J. Alberto
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UPV Unit:
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Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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[EN] 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, ...[+]
[EN] 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 features of independent actigraphy signals. Experiments were carried out on 20 randomly chosen actigraphy samples of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) database, with no information other than their aperiodicity.
The Pearson correlation coefficient matrix and the histogram correlation matrix were computed to study the similarity of movements during sleep. The results obtained allowed us to explore the connections between certain sleep actigraphy patterns and certain pathologies.
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Subjects:
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Actigraphy
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Bispectrum
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Entropy
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Feature extraction
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Copyrigths:
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Reconocimiento (by)
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Source:
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Sensors. (eissn:
1424-8220
)
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DOI:
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10.3390/s18124310
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Publisher:
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MDPI AG
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Publisher version:
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https://doi.org/10.3390/s18124310
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Project ID:
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info:eu-repo/grantAgreement/EC/H2020/727560/EU/Collective wisdom driving public health policies/
info:eu-repo/grantAgreement/MINECO//MTM2016-75963-P/ES/DINAMICA DE OPERADORES/
info:eu-repo/grantAgreement/MINECO//DPI2016-80054-R/ES/BIOMARCADORES DINAMICOS BASADOS EN FIRMAS TISULARES MULTIPARAMETRICAS PARA EL SEGUIMIENTO Y EVALUACION DE LA RESPUESTA A TRATAMIENTO DE PACIENTES CON GLIOBLASTOMA Y CANCER DE/
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Thanks:
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Funding for this study was provided by the authors' departments. J.A.C. acknowledges support from the Ministerio de Economia, Industria y Competitividad, Grant MTM2016-75963-P. J.M.G.-G. y C.S. Ministerio de Ciencia ...[+]
Funding for this study was provided by the authors' departments. J.A.C. acknowledges support from the Ministerio de Economia, Industria y Competitividad, Grant MTM2016-75963-P. J.M.G.-G. y C.S. Ministerio de Ciencia Tecnologia y Telecomunicaciones, Grant DPI2016-80054-R. J.A.C., J.M.G.-G. and C.S. acknowledge support from the European Commission, CrowdHealth project (H2020-SC1-2016-CNECT No. 727560).
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Type:
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Artículo
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