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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...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3395835/ https://ncbi.nlm.nih.gov/pubmed/22336100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1475-925X-11-9 |
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