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        Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis

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        1_s2.0_S1877050918323019_main.pdf (PDF, 762Kb)
        Author
        Bhavsar, Ronakben
        Davey, Neil
        Helian, Na
        Sun, Yi
        Steffert, Tony
        Mayor, David
        Attention
        2299/20970
        Abstract
        Recently, different algorithms have been suggested to improve Sample Entropy (SE) performance. Although new methods for calculating SE have been proposed, so far improving the efficiency (computational time) of SE calculation methods has not been considered. This research shows such an analysis of calculating a correlation between Electroencephalogram(EEG) and Heart Rate Variability(HRV) based on their SE values. Our results indicate that the parsimonious outcome of SE calculation can be achieved by exploiting a new method of SE implementation. In addition, it is found that the electrical activity in the frontal lobe of the brain appears to be correlated with the HRV in a time domain.
        Publication date
        2018-12-11
        Published in
        Procedia Computer Science
        Published version
        https://doi.org/10.1016/j.procs.2018.11.016
        Other links
        http://hdl.handle.net/2299/20970
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