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Detecting Nonlinearity in Wrist Pulse Using Delay Vector Variance Method

Detecting Nonlinearity in Wrist Pulse Using Delay Vector Variance Method,10.1007/978-1-4020-8387-7_151,Jianjun Yan,Yiqin Wang,Chunming Xia,Fufeng Li,R

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Detecting Nonlinearity in Wrist Pulse Using Delay Vector Variance Method   (Citations: 2)
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The cardiovascular system is known theoretically to contain many nonlinearities. Delay Vector Variance method is a novel method for detecting nonlinearity of time series, which can detect the nonlinearity of the original time series comparing test data to surrogate data. This method provides a new approach for wrist pulse analysis based on the local predictability in phase space. In this paper the wrist pulse signals of healthy group and coronary heart disease group are analyzed and studied with the Delay Vector Variance method, the results indicated that there is distinct difference between two groups of wrist pulse signals from DVV plots and test statistics, most of the wrist pulse signals of the coronary heart disease group are nonlinear, while the wrist pulse signals of the healthy group are commonly linear.
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