Abstract
The rapid ageing of society makes necessary the development of advanced technologies for the identification of frailty. In this paper, we present a system for mobility evaluation in frailty phenotype assessment. The system is equipped with wireless, small and non-invasive wearable sensors for an objective evaluation of mobility. The paper proposes an optimization of gait analysis algorithm using a dynamic threshold. The results obtained from a comparison with the gold standard show errors of 3.7% for double support, 5.1% for stride length, and 5.8% for stride speed. Moreover, a simple and automatic tool, which estimates postural and walking parameters to assist medical staff in assessing frailty, is developed.
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