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• W3128949674 startingPage "979" @default.
• W3128949674 abstract "The usage of entropy analysis in gait research has grown considerably the last two decades. The present paper reviews the application of different entropy analyses in gait research and provides recommendations for future studies. While single-scale entropy analysis such as approximate and sample entropy can be used to quantify regularity/predictability/probability, they do not capture the structural richness and component entanglement characterized by a complex system operating across multiple spatial and temporal scales. Thus, for quantification of complexity, either multiscale entropy or refined composite multiscale entropy is recommended. For both single- and multiscale-scale entropy analyses, care should be made when selecting the input parameters of tolerance window r, vector length m, time series length N and number of scales. This selection should be based on the proposed research question and the type of data collected and not copied from previous studies. Parameter consistency should be investigated and published along with the main results to ensure transparency and enable comparisons between studies. Furthermore, since the interpretation of the absolute size of both single- and multiscale entropy analyses outcomes is not straightforward, comparisons should always be made with a control condition or group." @default.
• W3128949674 created "2021-02-15" @default.
• W3128949674 creator A5046425073 @default.
• W3128949674 creator A5076995179 @default.
• W3128949674 date "2021-02-09" @default.
• W3128949674 modified "2023-10-12" @default.
• W3128949674 title "Entropy Analysis in Gait Research: Methodological Considerations and Recommendations" @default.
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• W3128949674 doi "https://doi.org/10.1007/s10439-020-02616-8" @default.
• W3128949674 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8051436" @default.
• W3128949674 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33560467" @default.
• W3128949674 hasPublicationYear "2021" @default.
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