Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea
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The purpose of this paper is to develop an accelerometry system capable of performing gait event demarcation and calculation of temporal parameters using a single waist-mounted device. Particularly, a mobile phone positioned over the L2 vertebra is used to acquire trunk accelerations during walking. Signals from the acceleration magnitude and the vertical acceleration are smoothed through different filters. Cut-off points between filtered signals as a result of convolving with varying levels of Gaussian filters and other robust features against temporal variation and noise are used to identify peaks that correspond to gait events. Five pre-frail older adults and five young healthy adults were recruited in an experiment. Cadence, step/stride time, step/stride CV, step asymmetry and percentages of the stance/swing and single/double support phases, among the two groups of different mobility were quantified by the system.
KeywordsQuantitative gait analysis Heel-strike detection Toe-off detection Frailty Single accelerometer Mobile phone Scale-space filter
This work is supported by the FRASE MINECO project (TIN2013-47152-C3-1-R) and also by the Plan Propio de Investigación program from Castilla-La Mancha University.
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