| 生理信号回归问题的一种解法 |
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| 引用本文： | 陈迎华.生理信号回归问题的一种解法[J].上海生物医学工程,2001,22(4):60-61,8. |
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| 作者姓名： | 陈迎华 |
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| 作者单位： | 陈迎华（上海医疗器械高等专科学校,200093） |
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| 摘 要： | 一自适应在线过程可通过Kalman滤波表示为时间变多变量的的自回归模型。时变模型的参数的估计能被用以计算线相关的瞬时测量，此方法对生理信号的分析非常有用。本文着重讨论了在呼吸运动，心率波动，血压的分析中的应用。
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| 关 键 词： | 血压 呼吸 心率 Kalman 滤波器 线性的相关性 生理信号回归问题 |
One Solution for Physiological Signal AR Model |
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| Shanghai Medical Instrumentation College.One Solution for Physiological Signal AR Model[J].Shanghai Journal of Biomedical Engineering,2001,22(4):60-61,8. |
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| Authors: | Shanghai Medical Instrumentation College |
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| Abstract: | An adaptive on line procedure is present for autoregressive (AR ) modeling of
nonstationary multivariatc time series by means kalman filtering. The parameter of the estimated time-varying model can be used to calculate instantaneous measures of linear dependence. It's useful for physiological signal analysis. It is discussed the analysis of respiratory movement, heart rate fluctuation and blood pressure. |
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| Keywords: | blood pressure respiration heart rate Kalman filter linear dependence time-varying multivariate autoregression |
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