Cargando…
Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment
BACKGROUND: Half of long-term care (LTC) residents are malnourished, leading to increased hospitalization, mortality, and morbidity, with low quality of life. Current tracking methods are subjective and time-consuming. OBJECTIVE: This paper presented the automated food imaging and nutrient intake tr...
Autores principales: | Pfisterer, Kaylen, Amelard, Robert, Boger, Jennifer, Keller, Heather, Chung, Audrey, Wong, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716425/ https://www.ncbi.nlm.nih.gov/pubmed/36394940 http://dx.doi.org/10.2196/37590 |
Ejemplares similares
-
Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint
por: Pfisterer, Kaylen J, et al.
Publicado: (2019) -
Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes
por: Pfisterer, Kaylen J., et al.
Publicado: (2022) -
Characterizing Canadian long-term care home consumed foods and their inflammatory potential: a secondary analysis
por: Pfisterer, Kaylen J., et al.
Publicado: (2023) -
Nutrient scoring for the DEGS1-FFQ – from food intake to nutrient intake
por: Thieleking, Ronja, et al.
Publicado: (2023) -
Feasibility of long-distance heart rate monitoring using transmittance photoplethysmographic imaging (PPGI)
por: Amelard, Robert, et al.
Publicado: (2015)