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題 名 | Acquiring, Modeling, and Predicting Intracranial Pressure in the Intensive Care Unit |
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作 者 | Tsui,Fu-chiang; Li,Ching-chung; Sun,Mingui; Sclabassi,Robert J.; | 書刊名 | 醫學工程 |
卷 期 | 8:6 1996.12[民85.12] |
頁 次 | 頁96-108 |
分類號 | 410.1644 |
關鍵詞 | Intracranial pressure; ICP; Intensive care unit; ICU; Artificial neural network; ANN; |
語 文 | 英文(English) |
英文摘要 | Signal processing in the intensive care unit (ICU) is discussed in this paper. The data-acquisition layout for the computerized ICU is briefly reviewed. The prediction of intracranial pressure (ICP) is investigated based on artificial neural networks (ANNs). The biorthogonal wavelet transform is employed to extract features from ICP signals to facilitate long-term prediction by using wavelet/scaling coefficients at a coarse resolution as the input and the output of a neural network. An adaptive algorithm is utilized in the ANN for updating and prediction of the ICP signal. A comparison between the ANN predictor and the least-meansquare (LMS) adaptive predictor is studied. The results demonstrate that the ANN predictor has better performance than the linear LMS predictor. |
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