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Ervin Sejdić, Kristin A Lowry, Jennica Bellanca, Subashan Perera, Mark S Redfern, Jennifer S Brach
OBJECTIVE: Evaluating stride events can be valuable for understanding the changes in walking due to aging and neurological diseases. However, creating the time series necessary for this analysis can be cumbersome. In particular, finding heel contact and toe-off events which define the gait cycles accurately are difficult. METHOD: We proposed a method to extract stride cycle events from tri-axial accelerometry signals. We validated our method via data collected from 14 healthy controls, 10 participants with Parkinson's disease and 11 participants with peripheral neuropathy...
2016: IEEE Journal of Translational Engineering in Health and Medicine
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