Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients

The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments. When monitoring the activities of daily living (ADLs), it is feasible to detect behaviour patterns, parse out the disea...

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Detalles Bibliográficos
Autores principales: Ortiz-Barrios, Miguel, Järpe, Eric, García-Constantino, Matías, Cleland, Ian, Nugent, Chris, Arias-Fonseca, Sebastián, Jaramillo-Rueda, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318990/
https://www.ncbi.nlm.nih.gov/pubmed/35891090
http://dx.doi.org/10.3390/s22145410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318990/
https://www.ncbi.nlm.nih.gov/pubmed/35891090
http://dx.doi.org/10.3390/s22145410

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