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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Bibliografiska uppgifter
Huvudupphovsmän: Yuwono, Mitchell, Moulton, Bruce D, Su, Steven W, Celler, Branko G, Nguyen, Hung T
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2012
Ämnen:
Research
Länkar: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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