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- W3206859463 abstract "Many Neurological diseases provoke motor impairment. In order to obtain early diagnosis and effective assessment of therapeutic outcomes, it is desirable to quantify gait features and alterations. In this study, we showed that human gait is characterized by replicable patterns of consensual accelerations/decelerations of body segments, that are highly regulated. Hence, we analysed motion analysis data through a graph theoretical approach and applied this framework in Parkinson's disease (PD), showing the utility of our newly proposed technique in clinical settings." @default.
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- W3206859463 date "2021-10-01" @default.
- W3206859463 modified "2023-10-01" @default.
- W3206859463 title "Fingerprint of gait applied to Parkinson's disease" @default.
- W3206859463 doi "https://doi.org/10.1016/j.jns.2021.119506" @default.
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