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A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.
Brown, Lindsey S; St Hilaire, Melissa A; McHill, Andrew W; Phillips, Andrew J K; Barger, Laura K; Sano, Akane; Czeisler, Charles A; Doyle, Francis J; Klerman, Elizabeth B.
Affiliation
  • Brown LS; Harvard John A. Paulson School of Engineering and Applied Sciences, Allston, MA, USA.
  • St Hilaire MA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
  • McHill AW; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.
  • Phillips AJK; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
  • Barger LK; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.
  • Sano A; Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR, USA.
  • Czeisler CA; Turner Institute for Brain and Mental Health, School of Psychological Science, Monash University, Clayton, Vic., Australia.
  • Doyle FJ; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
  • Klerman EB; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.
J Pineal Res ; 71(1): e12745, 2021 Aug.
Article in En | MEDLINE | ID: mdl-34050968
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photometry / Circadian Rhythm / Neural Networks, Computer / Actigraphy / Melatonin Limits: Adult / Female / Humans / Male Language: En Journal: J Pineal Res Journal subject: ENDOCRINOLOGIA Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photometry / Circadian Rhythm / Neural Networks, Computer / Actigraphy / Melatonin Limits: Adult / Female / Humans / Male Language: En Journal: J Pineal Res Journal subject: ENDOCRINOLOGIA Year: 2021 Document type: Article Affiliation country: Country of publication: