Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults

The field of fall risk testing using wearable sensors is bustling with activity. In this Letter, the authors review publications which incorporated features extracted from sensor signals into statistical models intended to estimate fall risk or predict falls in older people. A review of these studie...

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Detalles Bibliográficos
Autores principales: Shany, Tal, Wang, Kejia, Liu, Ying, Lovell, Nigel H., Redmond, Stephen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2015
Materias:
Healthcare Technologies in Falls: risk assessment, prediction and detection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611882/
https://www.ncbi.nlm.nih.gov/pubmed/26609411
http://dx.doi.org/10.1049/htl.2015.0019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611882/
https://www.ncbi.nlm.nih.gov/pubmed/26609411
http://dx.doi.org/10.1049/htl.2015.0019

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