Computer-aided continuous drug infusion: setup and test of a mobile closed-loop system for the continuous automated infusion of insulin
For a diabetes mellitus patient, tight control of glucose level is essential. Results are reported of an investigation of the suitability of existing wearable continuous insulin infusors controlled and adjusted by a control algorithm using continuous glucose measurements as input to perform the func...
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Veröffentlicht in: | IEEE journal of biomedical and health informatics 2006-04, Vol.10 (2), p.395-402 |
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description | For a diabetes mellitus patient, tight control of glucose level is essential. Results are reported of an investigation of the suitability of existing wearable continuous insulin infusors controlled and adjusted by a control algorithm using continuous glucose measurements as input to perform the functionality of an artificial pancreas. Special attention was given to the development of a continuous glucose monitor and to evaluate which quality of input data is necessary for the control algorithm. In clinical trials, it was found that for patients in a controlled environment an autonomously regulating control algorithm leads to an improved adjustment of patient glucose values and less overall insulin infusion as compared with the best fixed preprogrammed insulin infusion profiles of standard pump therapy. For the limited number of cases studied here, functionality of the control algorithm could tolerate some delay between the actual glucose values in the patient interstitial fluid and the algorithm input of up to 30 min. A quasicontinuous glucose measurement delivering actual glucose values every 5-10 min seems to be suited to control an artificial pancreas |
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Results are reported of an investigation of the suitability of existing wearable continuous insulin infusors controlled and adjusted by a control algorithm using continuous glucose measurements as input to perform the functionality of an artificial pancreas. Special attention was given to the development of a continuous glucose monitor and to evaluate which quality of input data is necessary for the control algorithm. In clinical trials, it was found that for patients in a controlled environment an autonomously regulating control algorithm leads to an improved adjustment of patient glucose values and less overall insulin infusion as compared with the best fixed preprogrammed insulin infusion profiles of standard pump therapy. For the limited number of cases studied here, functionality of the control algorithm could tolerate some delay between the actual glucose values in the patient interstitial fluid and the algorithm input of up to 30 min. 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Results are reported of an investigation of the suitability of existing wearable continuous insulin infusors controlled and adjusted by a control algorithm using continuous glucose measurements as input to perform the functionality of an artificial pancreas. Special attention was given to the development of a continuous glucose monitor and to evaluate which quality of input data is necessary for the control algorithm. In clinical trials, it was found that for patients in a controlled environment an autonomously regulating control algorithm leads to an improved adjustment of patient glucose values and less overall insulin infusion as compared with the best fixed preprogrammed insulin infusion profiles of standard pump therapy. For the limited number of cases studied here, functionality of the control algorithm could tolerate some delay between the actual glucose values in the patient interstitial fluid and the algorithm input of up to 30 min. A quasicontinuous glucose measurement delivering actual glucose values every 5-10 min seems to be suited to control an artificial pancreas</description><subject>Algorithms</subject><subject>Ambulatory Care - methods</subject><subject>Artificial Intelligence</subject><subject>Automatic control</subject><subject>Automatic testing</subject><subject>Biomedical monitoring</subject><subject>Blood Glucose - analysis</subject><subject>Blood Glucose Self-Monitoring - instrumentation</subject><subject>Blood Glucose Self-Monitoring - methods</subject><subject>Control algorithms</subject><subject>Control theory</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - diagnosis</subject><subject>Diabetes Mellitus - drug therapy</subject><subject>Drug Therapy, Computer-Assisted - instrumentation</subject><subject>Drug Therapy, Computer-Assisted - methods</subject><subject>Drugs</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Feedback</subject><subject>Glucose</subject><subject>glucose monitor</subject><subject>Humans</subject><subject>Hyperglycemia</subject><subject>Infusion</subject><subject>Insulin</subject><subject>Insulin - administration & dosage</subject><subject>insulin infusion</subject><subject>Insulin Infusion Systems</subject><subject>Mobile computing</subject><subject>Monitors</subject><subject>Pancreas</subject><subject>Patients</subject><subject>Sugar</subject><subject>System testing</subject><issn>1089-7771</issn><issn>2168-2194</issn><issn>1558-0032</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqFkkuLFDEURgtRnIfuBUGCi9FNtbmpPN1p42NgwE27LlJ5aIaqSltJFvML_Num6BYHF9OrBHLuyb2Xr2leAN4AYPVud737uCEY843klArxqDkHxmSLcUce1zuWqhVCwFlzkdItxkAZdE-bM-AcBCfyvPm9jdO-ZLe0OlhnkYlzDnOJJSG7lB8ozL6kEOf3KLlc9kjPFmWXMooeaTTFIYwOmTEmZ9sxxj1Kdym7Cfm4oPzT3ffpkuOkc_3kr3SVhDmVMczPmidej8k9P56XzffPn3bbr-3Nty_X2w83rWGY5FZhAXxgzIDUWnoqjfeEgbdyEMYwsJ1V3ndUOztIbAwRlFmBnRNOKu1Jd9m8OXj3S_xV6iD9FJJx46hnV5vspaCgMCG8klcPklxIDpJ2J0EiJZWK09OgUBKIgJMgKMo4UFnBtw-DXFQhV3jt8vV_6G0sy1x33UvOuMDAVIXwATJLTGlxvt8vYdLLXQ-4XxPXr4nr18T1h8TVkldHbxkmZ_8VHCNWgZcHIDjn7j1Dpzjr_gA__tuT</recordid><startdate>20060401</startdate><enddate>20060401</enddate><creator>Dudde, R.</creator><creator>Thomas Vering</creator><creator>Piechotta, G.</creator><creator>Hintsche, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dudde, R.</au><au>Thomas Vering</au><au>Piechotta, G.</au><au>Hintsche, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer-aided continuous drug infusion: setup and test of a mobile closed-loop system for the continuous automated infusion of insulin</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>TITB</stitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><date>2006-04-01</date><risdate>2006</risdate><volume>10</volume><issue>2</issue><spage>395</spage><epage>402</epage><pages>395-402</pages><issn>1089-7771</issn><issn>2168-2194</issn><eissn>1558-0032</eissn><eissn>2168-2208</eissn><coden>ITIBFX</coden><abstract>For a diabetes mellitus patient, tight control of glucose level is essential. Results are reported of an investigation of the suitability of existing wearable continuous insulin infusors controlled and adjusted by a control algorithm using continuous glucose measurements as input to perform the functionality of an artificial pancreas. Special attention was given to the development of a continuous glucose monitor and to evaluate which quality of input data is necessary for the control algorithm. In clinical trials, it was found that for patients in a controlled environment an autonomously regulating control algorithm leads to an improved adjustment of patient glucose values and less overall insulin infusion as compared with the best fixed preprogrammed insulin infusion profiles of standard pump therapy. For the limited number of cases studied here, functionality of the control algorithm could tolerate some delay between the actual glucose values in the patient interstitial fluid and the algorithm input of up to 30 min. A quasicontinuous glucose measurement delivering actual glucose values every 5-10 min seems to be suited to control an artificial pancreas</abstract><cop>United States</cop><pub>IEEE</pub><pmid>16617628</pmid><doi>10.1109/TITB.2006.864477</doi><tpages>8</tpages></addata></record> |
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subjects | Algorithms Ambulatory Care - methods Artificial Intelligence Automatic control Automatic testing Biomedical monitoring Blood Glucose - analysis Blood Glucose Self-Monitoring - instrumentation Blood Glucose Self-Monitoring - methods Control algorithms Control theory Diabetes Diabetes Mellitus - diagnosis Diabetes Mellitus - drug therapy Drug Therapy, Computer-Assisted - instrumentation Drug Therapy, Computer-Assisted - methods Drugs Equipment Design Equipment Failure Analysis Feedback Glucose glucose monitor Humans Hyperglycemia Infusion Insulin Insulin - administration & dosage insulin infusion Insulin Infusion Systems Mobile computing Monitors Pancreas Patients Sugar System testing |
title | Computer-aided continuous drug infusion: setup and test of a mobile closed-loop system for the continuous automated infusion of insulin |
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