Page 282 - Glucose Monitoring Devices
P. 282

References    289




                  [39] Oppenheim AV, Schafer RW, Buck JR. Discrete-time signal processing. Upper Saddle
                      River, NJ: Prentice-Hall; 1998.
                  [40] Buckingham B, Cobry E, Clinton P, Gage V, Caswell K, Kunselman E, Cameron F,
                      Chase HP. Preventing hypoglycemia using predictive alarm algorithms and insulin
                      pump suspension. Diabetes Technology and Therapeutics 2009;11(2):93e7. https://
                      doi.org/10.1089/dia.2008.0032. Epub 2009/10/24. PubMed PMID: 19848575; PMCID:
                      PMC2979338.
                  [41] Cameron F, Niemeyer G, Gundy-Burlet K, Buckingham B. Statistical hypoglycemia
                      prediction. Journal of Diabetes Science and Technology 2008;2(4):612e21. https://
                      doi.org/10.1177/193229680800200412. Epub 2008/07/01. PubMed PMID: 19885237;
                      PMCID: PMC2769757.
                  [42] Cameron F, Wilson DM, Buckingham BA, Arzumanyan H, Clinton P, Chase HP, Lum J,
                      Maahs DM, Calhoun PM, Bequette BW. Inpatient studies of a Kalman-filter-based pre-
                      dictive pump shutoff algorithm. Journal of Diabetes Science and Technology 2012;6(5):
                      1142e7. https://doi.org/10.1177/193229681200600519. Epub 2012/10/16. PubMed
                      PMID: 23063041; PMCID: PMC3570849.
                  [43] Buckingham BA, Cameron F, Calhoun P, Maahs DM, Wilson DM, Chase HP,
                      Bequette BW, Lum J, Sibayan J, Beck RW, Kollman C. Outpatient safety assessment
                      of an in-home predictive low-glucose suspend system with type 1 diabetes subjects at
                      elevated risk of nocturnal hypoglycemia. Diabetes Technology and Therapeutics
                      2013;15(8):622e7. https://doi.org/10.1089/dia.2013.0040. Epub 2013/07/26. PubMed
                      PMID: 23883408; PMCID: PMC3746249.
                  [44] Abraham MB, Nicholas JA, Ly TT, Roby HC, Paramalingam N, Fairchild J, King BR,
                      Ambler GR, Cameron F, Davis EA, Jones TW. Safety and efficacy of the predictive low
                      glucose management system in the prevention of hypoglycaemia: protocol for rando-
                      mised controlled home trial to evaluate the Suspend before low function. BMJ Open
                      2016;6(4):e011589. https://doi.org/10.1136/bmjopen-2016-011589. Epub 2016/04/17.
                      PubMed PMID: 27084290; PMCID: PMC4838718.
                  [45] Wood MA, Shulman DI, Forlenza GP, Bode BW, Pinhas-Hamiel O, Buckingham BA,
                      Kaiserman KB, Liljenquist DR, Bailey TS, Shin J, Huang S, Chen X, Cordero TL,
                      Lee SW, Kaufman FR. In-clinic evaluation of the MiniMed 670G system "suspend
                      before low" feature in children with type 1 diabetes. Diabetes Technology and Thera-
                      peutics 2018. https://doi.org/10.1089/dia.2018.0209. Epub 2018/10/10. PubMed
                      PMID: 30299976.
                  [46] Buckingham BA, Christiansen MP, Forlenza GP, Wadwa RP, Peyser TA, Lee JB,
                      O’Connor J, Dassau E, Huyett LM, Layne JE, Ly TT. Performance of the omnipod
                      personalized model predictive control algorithm with meal bolus challenges in adults
                      with type 1 diabetes. Diabetes Technology and Therapeutics 2018. https://doi.org/
                      10.1089/dia.2018.0138. Epub 2018/08/03. PubMed PMID: 30070928.
                  [47] Zhong A, Choudhary P, McMahon C, Agrawal P, Welsh JB, Cordero TL, Kaufman FR.
                      Effectiveness of automated insulin management features of the MiniMed((R)) 640G
                      sensor-augmented insulin pump. Diabetes Technology and Therapeutics 2016;18(10):
                      657e63. https://doi.org/10.1089/dia.2016.0216. Epub 2016/10/18. PubMed PMID:
                      27672710; PMCID: PMC5111481 were employees of Medtronic during development
                      of this manuscript. P.C. has received research support from Medtronic.
   277   278   279   280   281   282   283   284   285   286   287