Abstract：
:Control of blood glucose concentration for patients in intensive care units (ICUs) has been demonstrated to be beneficial in reducing mortality and the incidence of serious complications, for both diabetic and non-diabetic patients. However, the high degree of variability and uncertainty characterizing the physiological conditions of critically ill subjects makes automated glucose control quite difficult; consequently, traditional, nurse-implemented protocols are widely employed. These protocols are based on infrequent glucose measurements, look-up tables to determine the appropriate insulin infusion rates, and bedside insulin administration. In this paper, a novel automatic adaptive control strategy based on frequent glucose measurements and a self-tuning control technique is validated based on a simulation study for 200 virtual patients. The adaptive control strategy is shown to be highly effective in controlling blood glucose concentration despite the large degree of variability in the blood glucose response exhibited by the 200 simulated patients.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Ottavian M,Barolo M,Zisser H,Dassau E,Seborg DEdoi
10.1016/j.cmpb.2012.01.011subject
Has Abstractpub_date
2013-02-01 00:00:00pages
144-56issue
2eissn
0169-2607issn
1872-7565pii
S0169-2607(12)00038-7journal_volume
109pub_type
杂志文章abstract：BACKGROUND AND OBJECTIVE:In this paper an information theory based multiscale singular value decomposition (SVD) is proposed for multilead electrocardiogram (ECG) signal processing. The shrinkage of singular values for different multivariate multiscale matrices at wavelet scales is based on information content. It aims...
journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/0169-2607(89)90161-2
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/0169-2607(95)01637-9
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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更新日期：1994-12-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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更新日期：2020-11-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2005.08.002
更新日期：2005-12-01 00:00:00
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更新日期：2020-06-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/s0169-2607(01)00175-4
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abstract：:Carefully collected, high-quality data are crucial in biomedical visualization, and it is important that the user community has ready access to both this data and the high-performance computing resources needed by the complex, computational algorithms that will process it. Biological researchers generally require data...
journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2010.08.009
更新日期：2012-06-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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