| 000 | 03511nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-72245-0 | ||
| 003 | DE-He213 | ||
| 005 | 20220801220911.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180301s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319722450 _9978-3-319-72245-0 |
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| 024 | 7 |
_a10.1007/978-3-319-72245-0 _2doi |
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| 050 | 4 | _aR856-857 | |
| 072 | 7 |
_aMQW _2bicssc |
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_aMQW _2thema |
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_a610.28 _223 |
| 100 | 1 |
_aCinar, Ali. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953004 |
|
| 245 | 1 | 0 |
_aAdvances in Artificial Pancreas Systems _h[electronic resource] : _bAdaptive and Multivariable Predictive Control / _cby Ali Cinar, Kamuran Turksoy. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXII, 119 p. 22 illus., 9 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Bioengineering, _x2193-0988 |
|
| 505 | 0 | _aIntroduction -- Physiology and Factors Affecting Blood Glucose Concentration -- Components of an Artificial Pancreas -- Modeling Glucose Concentration Dynamics -- Hypoglycemia Alarm Systems -- Hyperglycemia Alarm Systems -- Various Control Philosophies and Algorithms -- Multivariable Control of Glucose Concentration -- Dual Hormone Techniques for AP Systems -- Integrated Hypo-/Hyperglycemia Alarm and Control Systems -- Future Developments. | |
| 520 | _aThis brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those solely reliant on glucose and insulin concentrations because they can accommodate other relevant influences like physical activity, stress and sleep. Such factors also contribute to the accuracy of the adaptive control systems present in the artificial pancreas which is the focus of the brief, as their presence is indicated before they have an apparent effect on the glucose concentration and so can be more easily compensated. The adaptive controller is based on generalized predictive control techniques and also includes rules for changing controller parameters or structure based on the values of physiological variables. Simulation studies and clinical studies are reported to illustrate the performance of the techniques presented. | ||
| 650 | 0 |
_aBiomedical engineering. _93292 |
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| 650 | 0 |
_aControl engineering. _931970 |
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| 650 | 0 |
_aEndocrinology. _953005 |
|
| 650 | 1 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
| 650 | 2 | 4 |
_aControl and Systems Theory. _931972 |
| 650 | 2 | 4 |
_aEndocrinology. _953005 |
| 700 | 1 |
_aTurksoy, Kamuran. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953006 |
|
| 710 | 2 |
_aSpringerLink (Online service) _953007 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319722443 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319722467 |
| 830 | 0 |
_aSpringerBriefs in Bioengineering, _x2193-0988 _953008 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-72245-0 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c79064 _d79064 |
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