Your browser doesn't support javascript.
loading
A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors.
Wairagkar, Maitreyee; Villeneuve, Emma; King, Rachel; Janko, Balazs; Burnett, Malcolm; Agarwal, Veena; Kunkel, Dorit; Ashburn, Ann; Sherratt, R Simon; Holderbaum, William; Harwin, William S.
Affiliation
  • Wairagkar M; Department of Mechanical Engineering, Imperial College London, London, United Kingdom.
  • Villeneuve E; Care Research and Technology Centre, UK Dementia Research Institute, London, United Kingdom.
  • King R; Department of Biomedical Engineering, University of Reading, Reading, United Kingdom.
  • Janko B; Univ. Grenoble Alpes, CEA, LETI, DTBS, LS2P, Grenoble, France.
  • Burnett M; Department of Biomedical Engineering, University of Reading, Reading, United Kingdom.
  • Agarwal V; Department of Biomedical Engineering, University of Reading, Reading, United Kingdom.
  • Kunkel D; School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Ashburn A; School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Sherratt RS; School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Holderbaum W; School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Harwin WS; Department of Biomedical Engineering, University of Reading, Reading, United Kingdom.
PLoS One ; 17(10): e0264126, 2022.
Article in En | MEDLINE | ID: mdl-36256622

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Activities of Daily Living Limits: Aged / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Activities of Daily Living Limits: Aged / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: United States