Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes.

Cho, Sunghyun; Aiello, Eleonora M; Ozaslan, Basak; Riddell, Michael C; Calhoun, Peter; Gal, Robin L; Doyle, Francis J

Cho, Sunghyun; Aiello, Eleonora M; Ozaslan, Basak; Riddell, Michael C; Calhoun, Peter; Gal, Robin L; Doyle, Francis J.

Afiliação

Cho S; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Aiello EM; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Ozaslan B; Sansum Diabetes Research Institute, Santa Barbara, CA, USA.
Riddell MC; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Calhoun P; Sansum Diabetes Research Institute, Santa Barbara, CA, USA.
Gal RL; Physical Activity & Chronic Disease Unit, School of Kinesiology & Health Science, Faculty of Health, York University, Toronto, ON, Canada.
Doyle FJ; Jaeb Center for Health Research, Tampa, FL, USA.

J Diabetes Sci Technol ; : 19322968231153896, 2023 Feb 17.

Article em En | MEDLINE | ID: mdl-36799284

Palavras-chave

continuous glucose monitoring; physical activity; random forest; type 1 diabetes; wearable devices

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Diabetes Sci Technol Ano de publicação: 2023 Tipo de documento: Article

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