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Protocol for PD SENSORS: Parkinson's Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson's disease.
Morgan, Catherine; Craddock, Ian; Tonkin, Emma L; Kinnunen, Kirsi M; McNaney, Roisin; Whitehouse, Sam; Mirmehdi, Majid; Heidarivincheh, Farnoosh; McConville, Ryan; Carey, Julia; Horne, Alison; Rolinski, Michal; Rochester, Lynn; Maetzler, Walter; Matthews, Helen; Watson, Oliver; Eardley, Rachel; Whone, Alan L.
Afiliação
  • Morgan C; Translational Health Sciences, University of Bristol Medical School, Bristol, UK catherine.morgan@bristol.ac.uk.
  • Craddock I; Movement Disorders Group, North Bristol NHS Trust, Avon, UK.
  • Tonkin EL; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Kinnunen KM; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • McNaney R; Research and Development, IXICO, London, UK.
  • Whitehouse S; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Mirmehdi M; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Heidarivincheh F; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • McConville R; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Carey J; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Horne A; School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
  • Rolinski M; Population Health Sciences, University of Bristol Medical School, Bristol, UK.
  • Rochester L; Translational Health Sciences, University of Bristol Medical School, Bristol, UK.
  • Maetzler W; Movement Disorders Group, North Bristol NHS Trust, Avon, UK.
  • Matthews H; Institute of Neuroscience, Newcastle University, Newcastle, UK.
  • Watson O; NHS Foundation Trust, Newcastle Upon Tyne Hospitals, Newcastle Upon Tyne, UK.
  • Eardley R; Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.
  • Whone AL; Research Department, Cure Parkinson's Trust, London, UK.
BMJ Open ; 10(11): e041303, 2020 11 30.
Article em En | MEDLINE | ID: mdl-33257491
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article