Your browser doesn't support javascript.
loading
Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm.
Maylor, Benjamin D; Edwardson, Charlotte L; Dempsey, Paddy C; Patterson, Matthew R; Plekhanova, Tatiana; Yates, Tom; Rowlands, Alex V.
Affiliation
  • Maylor BD; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK.
  • Edwardson CL; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK.
  • Dempsey PC; NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK.
  • Patterson MR; Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK.
  • Plekhanova T; NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK.
  • Yates T; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 1TN, UK.
  • Rowlands AV; Baker Heart and Diabetes Institute, Melbourne 3004, Australia.
Sensors (Basel) ; 22(24)2022 Dec 18.
Article in En | MEDLINE | ID: mdl-36560353
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Wrist / Exercise Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Wrist / Exercise Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: United kingdom