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- W1971002015 abstract "Abstract — Panel Co-integration is one of the most popular methods to reveal and evaluate the influence and the interactions that may exist between long-term variables; Co-integration is used in different field and enjoying unprecedented popularity due reliability, clarity and robustness. in this article, we conducted an investigation using very powerful mathematical model to verify if a long-term relationship exist between cardiopulmonary hemodynamic signals, the methodology we applied in this paper is mainly based on four basic parts, in first part we applied unit root tests to assess the stationarity of the series, the second step is to apply the test of Co- integration model and quantify later this long-term relationship. Finally we applied the Granger causality tests to the entire panel, which consists of the 186 patients taken from Montreal Hospital / General MF (Massachusetts General Hospital / Marquette Foundation) database. The results found in this study are more than satisfactory and show how the long-term interaction between the cardiopulmonary hemodynamic signals, and reveals how the importance of understanding these interactions can help the doctor to understand the risks that may exist between these interactions. The originality of this article is the number of variables incorporated in our model study. Unlike the majority of studies are conducted with only two variables, our study is multidimensional. The main advantage of a multidimensional and multivariate model is to solve a multitude of problems which is not the case in studies in two dimensions." @default.
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- W1971002015 date "2014-01-01" @default.
- W1971002015 modified "2023-10-16" @default.
- W1971002015 title "Causal relationships between cardiorespiratory hemodynamics signals: Test analysis using panel Co-integration" @default.
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- W1971002015 doi "https://doi.org/10.1109/wccais.2014.6916591" @default.
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