Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems

BACKGROUND: Falls can cause trauma, disability and death among older people. Ambulatory accelerometer devices are currently capable of detecting falls in a controlled environment. However, research suggests that most current approaches can tend to have insufficient sensitivity and specificity in non...

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Detalles Bibliográficos
Autores principales: Yuwono, Mitchell, Moulton, Bruce D, Su, Steven W, Celler, Branko G, Nguyen, Hung T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395835/
https://www.ncbi.nlm.nih.gov/pubmed/22336100
http://dx.doi.org/10.1186/1475-925X-11-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395835/
https://www.ncbi.nlm.nih.gov/pubmed/22336100
http://dx.doi.org/10.1186/1475-925X-11-9

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