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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8807

    Title: Myocardial ischemia detection by pulse signal features and fuzzy clustering
    Authors: Chang, Kang-Ming;Lin, Zhi-Zhong;Liu, Shing-Hong;Tyan, Chu-Chang
    Contributors: Department of Computer and Communication Engineering
    Keywords: Biomedical engineering;Biophysics;Boolean functions;Electric currents;Fourier analysis;Fourier series;Fuzzy clustering;Fuzzy systems;Optical sensors;Informatics;Myocardial ischemia
    Date: 2008
    Issue Date: 2010-04-08 20:09:58 (UTC+8)
    Publisher: Asia University
    Abstract: The aim of this study is to propose a new diagnosing algorithm, for myocardial ischemia, based on the newly developed non-invasive measurement, three-axis sphygmography, and further processed by modified fuzzy c-means algorithms. The three-axis sphygmography measures pressure pulse waveform (PPW), and the PPW are analyzed by its harmonic components in the frequency domain. The first three harmonics of the Fourier series of PPW are significantly different between myocardial ischemia patients and normal subjects. The harmonic of the Fourier series of PPW are feed into a modified fuzzy cmeans algorithm, and developed PPW criteria to identify myocardial ischemia with sensitivity 69% and specificity 100%.
    Relation: BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 2 :473-477
    Appears in Collections:[光電與通訊學系] 會議論文

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