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    ASIA unversity > 資訊學院 > 光電與通訊學系 > 期刊論文 >  Item 310904400/17102

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/17102

    Title: Hurst Exponents and Linear Regression with an Application to Low-Power Beta Characterization in meditation EEG.
    Authors: 張剛鳴;Chang, Kang-Ming
    Contributors: 光電與通訊學系
    Keywords: Beta rhythm;EEG;Hurst exponent;meditation;regression-fitting;wavelet
    Date: -
    Issue Date: 2012-11-26 10:21:58 (UTC+8)
    Abstract: "A lever-like EEG feature-extraction method based on the Hurst exponent and regression-fitting errors is proposed for identifying beta rhythms. The proposed method is superior to most methods using the time- and frequency-domain feature extraction parameters for identifying beta rhythms.[ABSTRACT FROM AUTHOR]

    Copyright of American Journal of Electroneurodiagnostic Technology is the property of ASET - The Neurodiagnostic Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.Copyright applies to all Abstracts."
    Relation: American Journal of Electroneurodiagnostic Technology
    Appears in Collections:[光電與通訊學系] 期刊論文

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