Non-Invasive Glucose Sensing Technologies and Products: A Comprehensive Review for Researchers and Clinicians.

Di Filippo, Daria; Sunstrum, Frédérique N; Khan, Jawairia U; Welsh, Alec W

Di Filippo, Daria; Sunstrum, Frédérique N; Khan, Jawairia U; Welsh, Alec W.

Afiliación

Di Filippo D; Discipline of Women's Health, School of Clinical Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Sunstrum FN; Product Design, School of Design, Faculty of Design, Architecture and Built Environment, University of Technology Sydney, Sydney, NSW 2007, Australia.
Khan JU; Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia.
Welsh AW; Discipline of Women's Health, School of Clinical Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.

Sensors (Basel) ; 23(22)2023 Nov 12.

Article en En | MEDLINE | ID: mdl-38005523

Asunto(s)

Diabetes Mellitus; Humanos; Diabetes Mellitus/diagnóstico; Aprendizaje Automático; Predicción; Glucosa; Glucemia

Palabras clave

Diabetes Mellitus; continuous; glucose sensing; intermittent; non-invasive; product design and development

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Suiza

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