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An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG.
Sibilano, Elena; Brunetti, Antonio; Buongiorno, Domenico; Lassi, Michael; Grippo, Antonello; Bessi, Valentina; Micera, Silvestro; Mazzoni, Alberto; Bevilacqua, Vitoantonio.
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  • Sibilano E; Department of Electrical and Information Engineering, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy.
  • Brunetti A; Department of Electrical and Information Engineering, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy.
  • Buongiorno D; Department of Electrical and Information Engineering, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy.
  • Lassi M; The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
  • Grippo A; IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy.
  • Bessi V; Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Azienda Ospedaliera Careggi, Florence, Italy.
  • Micera S; The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
  • Mazzoni A; Bertarelli Foundation Chair in Translational Neuroengineering, Center for Neuroprosthetics, Institute of Bioengineering, School of Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
  • Bevilacqua V; The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
J Neural Eng ; 20(1)2023 02 17.
Article en En | MEDLINE | ID: mdl-36745929
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia