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    ASIA unversity > 資訊學院 > 光電與通訊學系 > 期刊論文 >  Item 310904400/17103

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/17103

    Title: Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
    Authors: 張剛鳴;Chang, Kang-Ming
    Contributors: 光電與通訊學系
    Keywords: arrhythmia ECG;ensemble empirical mode decomposition;composite noise;filter
    Date: 2010-06
    Issue Date: 2012-11-26 10:21:59 (UTC+8)
    Abstract: A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power—50 Hz, EMG, and base line wander – were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering performance. Mean square error between clean and filtered ECGs was used as filtering performance indexes. Results showed that high noise reduction is the major advantage of the EEMD based filter, especially on arrhythmia ECGs.
    Relation: SENSORS
    Appears in Collections:[光電與通訊學系] 期刊論文

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