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Biometric Digital Health Technology for Measuring Motor Function in Parkinson's Disease: Results from a Feasibility and Patient Satisfaction Study.
Mitsi, Georgia; Mendoza, Enrique Urrea; Wissel, Benjamin D; Barbopoulou, Elena; Dwivedi, Alok K; Tsoulos, Ioannis; Stavrakoudis, Athanassios; Espay, Alberto J; Papapetropoulos, Spyros.
Afiliación
  • Mitsi G; Apptomics Inc., Wellesley, MA, United States.
  • Mendoza EU; Neuroscience Associates, Greenville Health System, Greenville, SC, United States.
  • Wissel BD; Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States.
  • Barbopoulou E; Department of Mathematics, City University London, London, United Kingdom.
  • Dwivedi AK; Department of Computer Science and Engineering, City University London, London, United Kingdom.
  • Tsoulos I; Division of Biostatistics and Epidemiology, Department of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, TX, United States.
  • Stavrakoudis A; Department of Informatics and Telecommunications, Technological Educational Institute of Epirus, Epirus, Greece.
  • Espay AJ; Department of Economics, University of Ioannina, Ioannina, Greece.
  • Papapetropoulos S; Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States.
Front Neurol ; 8: 273, 2017.
Article en En | MEDLINE | ID: mdl-28659858
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neurol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neurol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos