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Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
Stoean, Catalin; Stoean, Ruxandra; Atencia, Miguel; Abdar, Moloud; Velázquez-Pérez, Luis; Khosravi, Abbas; Nahavandi, Saeid; Acharya, U Rajendra; Joya, Gonzalo.
Affiliation
  • Stoean C; Romanian Institute of Science and Technology, 400022 Cluj-Napoca, Romania.
  • Stoean R; Romanian Institute of Science and Technology, 400022 Cluj-Napoca, Romania.
  • Atencia M; Department of Applied Mathematics, Universidad de Málaga, 29071 Málaga, Spain.
  • Abdar M; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, 3216 Victoria, Australia.
  • Velázquez-Pérez L; Cuban Academy of Sciences, La Habana 10100, Cuba.
  • Khosravi A; Center for Research and Rehabilitation of Hereditary Ataxias, 80100 Holguín, Cuba.
  • Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, 3216 Victoria, Australia.
  • Acharya UR; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, 3216 Victoria, Australia.
  • Joya G; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Clementi, Singapore.
Sensors (Basel) ; 20(11)2020 May 27.
Article in En | MEDLINE | ID: mdl-32471077
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Monte Carlo Method / Neural Networks, Computer / Spinocerebellar Ataxias / Electrooculography Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Country of publication:
Fulltext
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Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Monte Carlo Method / Neural Networks, Computer / Spinocerebellar Ataxias / Electrooculography Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Country of publication: