| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_495e2321623ef9fa34cb3efa80d84ea3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_28a89f8dab024e02ae765d1273e716f1 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2005-14296
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2005-14208
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2005-14292
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2230-201 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M5-1723
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M5-142
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14532
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-17
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1495 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-17
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2010-03-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0391c6eaf0549766943618c13155e239
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f60f04273216669d0bb7af4aeda2426a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2f62fbb147f56123066b2c588c38b1ee
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0d5f3bb072d9a019ccfa31442336b371
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c075d99b8112af74bc986658343f63b5 |
| publicationDate |
2012-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-2413781-A1 |
| titleOfInvention |
Overnight closed-loop insulin delivery with model predictive control and glucose measurement error model |
| abstract |
A closed-loop system for insulin infusion overnight uses a model predictive control algorithm ("MPC"). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System ("FSN"). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery. |
| priorityDate |
2009-03-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |