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Technological Solution for Pervasive Fall Risk Assessment
2020
Studies in Health Technology and Informatics
Falls are a well-known danger for older adults. With the worldwide population aging, there has been an increasing interest in assessing the risk of falling. This work presents a novel algorithm for continuous fall risk assessment, relying on a linear regression model whose inputs consist of both measured and self-reported risk factors. Two models were conceived and compared, following two distinct approaches, a theoretical and an empirical one. The system is pervasive and was tested in
doi:10.3233/shti200635
pmid:33087609
fatcat:f5pydcyhwrcybmpbzqs4zjuvcy