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Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls
This study explored using big data, totaling 66 terabytes over 10 years, captured from sensor systems installed in independent living apartments to predict falls from pre-fall changes in residents’ Kinect-recorded gait parameters. Over a period of 3 to 48 months, we analyzed gait parameters continuo...
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| Publicado no: | West J Nurs Res |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5272917/ https://ncbi.nlm.nih.gov/pubmed/27470677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0193945916662027 |
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