Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods.

Nana, A; Staynor, J M D; Arlai, S; El-Sallam, A; Dhungel, N; Smith, M K

Nana, A; Staynor, J M D; Arlai, S; El-Sallam, A; Dhungel, N; Smith, M K.

Afiliación

Nana A; College of Sports Science and Technology, Mahidol University, Thailand. Electronic address: alisa.nan@mahidol.ac.th.
Staynor JMD; Body Composition Technologies Pty Ltd, South Perth, Western Australia, Australia.
Arlai S; College of Sports Science and Technology, Mahidol University, Thailand.
El-Sallam A; Advanced Human Imaging PLC, South Perth, Western Australia, Australia.
Dhungel N; Advanced Human Imaging PLC, South Perth, Western Australia, Australia.
Smith MK; Body Composition Technologies Pty Ltd, South Perth, Western Australia, Australia.

Obes Res Clin Pract ; 16(1): 37-43, 2022.

Article en En | MEDLINE | ID: mdl-35094958

Asunto(s)

Inteligencia Artificial; Teléfono Inteligente; Absorciometría de Fotón; Adulto; Antropometría/métodos; Composición Corporal; Índice de Masa Corporal; Impedancia Eléctrica; Femenino; Humanos; Masculino

Palabras clave

Body composition assessment; Digital anthropometry; Digital imagery; Obesity; Smartphone; Two-dimensional

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Teléfono Inteligente Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Obes Res Clin Pract Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos

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