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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| 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 |