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Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information.
Li, Xiao; Dunn, Jessilyn; Salins, Denis; Zhou, Gao; Zhou, Wenyu; Schüssler-Fiorenza Rose, Sophia Miryam; Perelman, Dalia; Colbert, Elizabeth; Runge, Ryan; Rego, Shannon; Sonecha, Ria; Datta, Somalee; McLaughlin, Tracey; Snyder, Michael P.
Afiliación
  • Li X; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Dunn J; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Salins D; Mobilize Center, Stanford University, Palo Alto, California, United States of America.
  • Zhou G; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Zhou W; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Schüssler-Fiorenza Rose SM; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Perelman D; Spinal Cord Injury Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America.
  • Colbert E; Department of Neurosurgery, Stanford University School of Medicine, Stanford, California, United States of America.
  • Runge R; Division of Endocrinology, Stanford University School of Medicine, Stanford, California, United States of America.
  • Rego S; Spinal Cord Injury Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America.
  • Sonecha R; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Datta S; Spinal Cord Injury Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America.
  • McLaughlin T; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
  • Snyder MP; Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
PLoS Biol ; 15(1): e2001402, 2017 01.
Article en En | MEDLINE | ID: mdl-28081144
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Salud / Electrónica Médica / Modelación Específica para el Paciente Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Biol Asunto de la revista: BIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Salud / Electrónica Médica / Modelación Específica para el Paciente Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Biol Asunto de la revista: BIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos