Your browser doesn't support javascript.
loading
Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages.
Haghayegh, Shahab; Khoshnevis, Sepideh; Smolensky, Michael H; Diller, Kenneth R; Castriotta, Richard J.
Affiliation
  • Haghayegh S; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Khoshnevis S; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Smolensky MH; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Diller KR; Department of Internal Medicine, Division of Pulmonary and Sleep Medicine, McGovern School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Castriotta RJ; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Chronobiol Int ; 37(1): 47-59, 2020 01.
Article in En | MEDLINE | ID: mdl-31718308

Full text: 1 Database: MEDLINE Main subject: Sleep / Circadian Rhythm Limits: Adult / Humans Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Sleep / Circadian Rhythm Limits: Adult / Humans Language: En Year: 2020 Type: Article