Study of the influence of Age: Use of Sample Entropy and CEEMDAN on Navigation Data Acquired from a Bike Simulator
作者： Antoine Jamin , Guillaume Duval , Cedric Annweiler , Pierre Abraham , Anne Humeau-Heurtier
DOI: 10.1109/IPTA50016.2020.9286648
关键词:
摘要: Aging is a complex phenomenon that can be studied by analyzing age-related alterations in the execution of various tasks. This work deals with processing navigation data acquired from bike simulator two populations: young healthy subjects and older adults loss autonomy. Our goal to analyze influence age ability ride on virtual straight line perspective able identify diseases geriatric population. For this purpose we process time series defined as deviation center path, lines: for each quantify irregularity – through sample entropy (SampEn) intrinsic mode functions obtained complete ensemble empirical decomposition adaptive noise (CEEMDAN). The results show our approach reveal different learning adaptation skills populations. could useful help geriatricians their diagnoses.
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