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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41643

Title: Efficient Computation of Multiscale Entropy in Biomedicine,
Authors: Yu-Hsiang Pan;Kun-Hsiung Chang;Yung-Hung Wang
Contributors: 國立臺灣海洋大學:環境生物與漁業科學學系
Date: 2011
Issue Date: 2017-03-14T06:22:57Z
Publisher: 2010 International Symposium on Computer, Communication, Control and Automation (3CA)
Abstract: Abstract:Multiscale entropy (MSE) is a measurement of a system's complexity. It has been successfully verified and applied in biological signals and others. However, the algorithms proposed in the literature require a quadratic execution time. In this paper, we develop a new algorithm to reduce the computational time using an integer type of data storage for biomedicine signals. The execution times of experimental results with RR and EEG signals show a significant improvement from 20 to 100 times compared to the method proposed in the literature for N = 80,000.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41643
Appears in Collections:[環境生物與漁業科學學系] 演講及研討會

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