Automatic patient functionality assessment from multimodal data using deep learning techniques – Development and feasibility evaluation

Wearable devices and mobile sensors enable the real-time collection of an abundant source of physiological and behavioural data unobtrusively. Unlike traditional in-person evaluation or ecological momentary assessment (EMA) questionnaire-based approaches, these data sources open many possibilities i...

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Detalles Bibliográficos
Autores principales: Sükei, Emese, de Leon-Martinez, Santiago, Olmos, Pablo M., Artés, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Full length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440506/
https://www.ncbi.nlm.nih.gov/pubmed/37609529
http://dx.doi.org/10.1016/j.invent.2023.100657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440506/
https://www.ncbi.nlm.nih.gov/pubmed/37609529
http://dx.doi.org/10.1016/j.invent.2023.100657

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