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Determining Physical Activity Characteristics from Wristband Data for Use in Automated Insulin Delivery Systems.
Sevil, Mert; Rashid, Mudassir; Maloney, Zacharie; Hajizadeh, Iman; Samadi, Sediqeh; Askari, Mohammad Reza; Hobbs, Nicole; Brandt, Rachel; Park, Minsun; Quinn, Laurie; Cinar, Ali.
Afiliação
  • Sevil M; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Rashid M; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Maloney Z; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Hajizadeh I; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Samadi S; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Askari MR; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Hobbs N; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Brandt R; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Park M; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Quinn L; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
  • Cinar A; Mert Sevil, Rachel Brandt, Nicole Hobbs and Zacharie Maloney are with the Department of Biomedical Engineering (BME); Mudassir Rashid, Mohammad Reza Askari, Iman Hajizadeh and Sedigeh Samadi are with the Department of Chemical and Biological Engineering (ChBE); Ali Cinar is with the Departments of C
IEEE Sens J ; 20(21): 12859-12870, 2020 Nov.
Article em En | MEDLINE | ID: mdl-33100923

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Sens J Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Sens J Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos