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Deep Neural Networks for Human’s Fall-risk Prediction using Force-Plate Time Series Signal
Early and accurate identification of the balance deficits could reduce falls, in particular for older adults, a prone population. Our work investigates deep neural networks’ capacity to identify human balance patterns towards predicting fall-risk. Human balance ability can be characterized based on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540455/ https://www.ncbi.nlm.nih.gov/pubmed/36211616 http://dx.doi.org/10.1016/j.eswa.2021.115220 |