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  1. No Access

    Article

    Sign series entropy analysis of short-term heart rate variability

    Complexity and nonlinearity approaches can be used to study the temporal and structural order in heart rate variability (HRV) signal, which is helpful for understanding the underlying rule and physiological es...

    ChunHua Bian, QianLi Ma, JunFeng Si, XuHui Wu, Jun Shao… in Chinese Science Bulletin (2009)

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    Article

    A new measure to characterize multifractality of sleep electroencephalogram

    Traditional methods for nonlinear dynamic analysis, such as correlation dimension, Lyapunov exponent, approximate entropy, detrended fluctuation analysis, using a single parameter, cannot fully describe the ex...

    Qianli Ma, **nbao Ning, Jun Wang, Chunhua Bian in Chinese Science Bulletin (2006)

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    Article

    Research progress in nonlinear analysis of heart electric activities

    Nonlinear science research is a hot point in the world. It has deepened our cognition of determinism and randomicity, simplicity and complexity, noise and order and it will profoundly influence the progress of...

    **nbao Ning, Chunhua Bian, Jun Wang, Ying Chen in Chinese Science Bulletin (2006)

  4. No Access

    Article

    Nonlinearity degree of short-term heart rate variability signal

    A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (H...

    Chunhua Bian, **nbao Ning in Chinese Science Bulletin (2004)