Abstract
Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus record navigation data (handlebar angle and speed) during the ride. They are processed with two cross-distribution entropy methods (time-shift multiscale cross-distribution entropy and multiscale cross-distribution entropy). We also analyze the time series with a detrended cross-correlation analysis to determine which method can best underline age-related alterations. Our results show that methods based on cross-distribution entropy may be efficient to stress the decrease in navigation capacities with age. The results are very encouraging for our future goal of adding medical benefits to a leisure equipment. They also show the value of using virtual reality to study the impact of age.
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Acknowledgments
The authors would like to thank Lucie Vigreux who participated in the development of the DCCA code.
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A CIFRE grant No 2017/1165 was awarded by ANRT to the company COTTOS Médical to support the work of graduate student A. Jamin.
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Jamin, A., Duval, G., Annweiler, C. et al. Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures. Med Biol Eng Comput 59, 13–22 (2021). https://doi.org/10.1007/s11517-020-02257-y
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DOI: https://doi.org/10.1007/s11517-020-02257-y