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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108008


    Title: Population based ant colony optimization for reconstructing ECG signals
    Authors: 蔡佩芸;Cheng, Yih-Chun;Hartmann, Tom;Tsai, Pei-Yun;Middendorf, Martin
    Contributors: 資訊電機學院電機工程學系
    Keywords: Algorithms;Applications of Mathematics;Artificial Intelligence;Bioinformatics;Control;Electrocardiography;Engineering;Mathematical and Computational Engineering;Mechatronics;Robotics;Signal reconstruction;Special Issue;Statistical Physics and Dynamical Systems
    Date: 2016-09-01
    Issue Date: 2026-04-23 14:30:36 (UTC+8)
    Publisher: Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
    Abstract: 摘要: A population based ant colony optimization algorithm (PACO) for the reconstruction of electrocardiogram (ECG) signals is proposed. Specifically, the PACO finds a subset of nonzero positions of a sparse wavelet domain ECG signal vector that is used for the reconstruction of the signal. A time window is used by the proposed PACO for fixing certain decisions of the ants during the run of the algorithm. The optimization behaviour of the PACO is compared with various algorithms from the literature for ECG signal reconstruction, and with two random search heuristics. Experimental results are presented for ECG signals from the MIT-BIT Arrhythmia database. The influence of several algorithmic parameters and of a local search procedure is evaluated. The results show that the proposed PACO algorithm reconstructs ECG signals with high accuracy.
    其他題名: Evol. Intel
    出版者: Berlin/Heidelberg: Springer Berlin Heidelberg
    出版日期: 2016-09-01
    出處: Evolutionary intelligence, 2016-09, Vol.9 (3), p.55-66
    版權: Springer-Verlag Berlin Heidelberg 2016
    版權: Copyright Springer Science & Business Media 2016
    識別號: ISSN: 1864-5909
    識別號: EISSN: 1864-5917
    識別號: DOI: 10.1007/s12065-016-0139-0
    Appears in Collections:[Department of Electrical Engineering] journal & Dissertation

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