Spectral Analysis of Accelerometry Signals From a Directed-Routine for Falls-Risk Estimation

@article{Liu2011SpectralAO,
  title={Spectral Analysis of Accelerometry Signals From a Directed-Routine for Falls-Risk Estimation},
  author={Ying Liu and Stephen James Redmond and Ning Wang and Fernando Blumenkron and Michael R. Narayanan and Nigel H. Lovell},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2011},
  volume={58},
  pages={2308-2315}
}
Injurious falls are a prevalent and serious problem faced by a growing elderly population. Accurate assessment and long-term monitoring of falls-risk could prove useful in the prevention of falls, by identifying those at risk of falling early so targeted intervention may be prescribed. Previous studies have demonstrated the feasibility of using triaxial accelerometry to estimate the risk of a person falling in the near future, by characterizing their movement as they execute a restricted… CONTINUE READING
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