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Dr Jennifer Knopp

Contact

Department: Mechanical Engineering

Email: jennifer.knopp@canterbury.ac.nz

Direct Dial: +64 3 3692411

Office: Civil Mechanical E546

Language: English

About
Research / Creative works
Networks

Fields of Research

  • Biomedical systems modelling
  • Physiological Modelling
  • Glycaemic Control
  • Neonatal Intensive Care
  • Clinical Applications in Engineering

Researcher Summary

Elevated blood sugar concentrations (hyperglycaemia) commonly occur in very premature infants in neonatal intensive care, and have been associated with increased mortality and worsened outcomes. Insulin can be used to treat hyperglycaemia, but current clinical practice worldwide often results in dangerously low blood sugar (hypoglycaemia). This research uses mathematical models of glucose-insulin physiology and statistical forecasting to determine an insulin dosage that is safe and effective. This model-based protocol is implemented as a tablet-based application, and is used in  neonatal intensive care units in New Zealand and Hungary.

Subject Area: Disciplines

  • Engineering and Technology: Bioengineering; Mechanical; Modelling; Simulation, Control and Computer Modelling

Research/Scholarly/Creative Works

  • Guy EFS., Chase JG., Knopp JL. and Shaw GM. (2022) Quantifying ventilator unloading in CPAP ventilation. Computers in Biology and Medicine 142 http://dx.doi.org/10.1016/j.compbiomed.2022.105225. (Journal Articles)
  • Kim KT., Knopp J., Dixon B. and Chase JG. (2022) Quantifying neonatal patient effort using non-invasive model-based methods. Medical and Biological Engineering and Computing 60(3): 739-751. http://dx.doi.org/10.1007/s11517-021-02491-y. (Journal Articles)
  • McHugh AD., Chase JG., Knopp JL., Ormsbee JJ., Kulawiec DG., Merry TL., Murphy R., Shepherd PR., Burden HJ. and Docherty PD. (2022) The Impact of Exogenous Insulin Input on Calculating Hepatic Clearance Parameters. Journal of Diabetes Science and Technology 16(4): 945-954. http://dx.doi.org/10.1177/1932296820986878. (Journal Articles)
  • McHugh AD., Chase JG., Knopp JL., Zhou T. and Holder-Pearson L. (2022) Determining Losses in Jet Injection Subcutaneous Insulin Delivery: A Model-Based Approach. Journal of Diabetes Science and Technology http://dx.doi.org/10.1177/19322968221085032. (Journal Articles)
  • Ormsbee JJ., Burden HJ., Knopp JL., Chase JG., Murphy R., Shepherd PR. and Merry T. (2022) Variability in Estimated Modelled Insulin Secretion. Journal of Diabetes Science and Technology 16(3): 732-741. http://dx.doi.org/10.1177/1932296821991120. (Journal Articles)
  • Payne M., Pooke F., Holder-Pearson L., Chase JG., de Bock M., Campbell J. and Knopp J. (2022) Bench-Side Dose Accuracy of an Open-Source Ultra-Low-Cost Insulin-Pump, With Testing Conducted to IEC 60601-2-24. Journal of Diabetes Science and Technology http://dx.doi.org/10.1177/19322968221142316. (Journal Articles)
  • Sun Q., Chase JG., Zhou C., Tawhai MH., Knopp JL., Möller K. and Shaw GM. (2022) Over-distension prediction via hysteresis loop analysis and patient-specific basis functions in a virtual patient model. Computers in Biology and Medicine 141 http://dx.doi.org/10.1016/j.compbiomed.2021.105022. (Journal Articles)
  • Sun Q., Chase JG., Zhou C., Tawhai MH., Knopp JL., Möller K., Heines SJ., Bergmans DC. and Shaw GM. (2022) Prediction and estimation of pulmonary response and elastance evolution for volume-controlled and pressure-controlled ventilation. Biomedical Signal Processing and Control 72 http://dx.doi.org/10.1016/j.bspc.2021.103367. (Journal Articles)
  • Yahia A., Szlávecz Á., Knopp JL., Norfiza Abdul Razak N., Abu Samah A., Shaw G., Chase JG. and Benyo B. (2022) Estimating Enhanced Endogenous Glucose Production in Intensive Care Unit Patients with Severe Insulin Resistance. Journal of Diabetes Science and Technology 16(5): 1208-1219. http://dx.doi.org/10.1177/19322968211018260. (Journal Articles)
  • Zhou C., Chase JG., Sun Q., Knopp J., Tawhai MH., Desaive T., Möller K., Shaw GM., Chiew YS. and Benyo B. (2022) Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model. BioMedical Engineering Online 21(1) http://dx.doi.org/10.1186/s12938-022-00986-9. (Journal Articles)
  • Burden HJ., Adams S., Kulatea B., Wright-McNaughton M., Sword D., Ormsbee JJ., Watene-O’Sullivan C., Merriman TR., Knopp JL. and Chase JG. (2021) The CREBRF diabetes-protective rs373863828-A allele is associated with enhanced early insulin release in men of Māori and Pacific ancestry. Diabetologia 64(12): 2779-2789. http://dx.doi.org/10.1007/s00125-021-05552-x. (Journal Articles)
  • Campbell J., Pretty CG., Knopp J., Bones P. and Chase JG. (2021) A model for the digital method of measuring LED incident photocurrent. In Proceedings of the ASME Design Engineering Technical Conference 7 http://dx.doi.org/10.1115/DETC2021-70651. (Conference Contributions - Published)
  • Chase JG., Shaw GM., Preiser JC., Knopp JL. and Desaive T. (2021) Risk-Based Care: Let's Think Outside the Box. Frontiers in Medicine 8 http://dx.doi.org/10.3389/fmed.2021.535244. (Journal Articles)
  • Chase JG., Zhou C., Knopp JL., Shaw GM., Naswall K., Wong JKHK., Malinen S., Moller K., Benyo B. and Chiew YS. (2021) Digital twins in critical care: What, When, How, Where, Why? In 54(15): 310-315. Elsevier. http://dx.doi.org/10.1016/j.ifacol.2021.10.274. (Conference Contributions - Published)
  • Guy EFS., Knopp JL. and Geoffrey Chase J. (2021) Pilot study of model-based estimation of inspiratory driving pressure in CPAP ventilation. In IFAC-PapersOnLine 54(15): 109-114. http://dx.doi.org/10.1016/j.ifacol.2021.10.240. (Conference Contributions - Published)
  • Kim KT., Knopp J. and Chase JG. (2021) Quantifying patient spontaneous breathing effort using model-based methods. Biomedical Signal Processing and Control 69 http://dx.doi.org/10.1016/j.bspc.2021.102809. (Journal Articles)
  • Knopp JL., Chase JG. and Shaw GM. (2021) Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU. Therapeutic Advances in Endocrinology and Metabolism 12 http://dx.doi.org/10.1177/20420188211012144. (Journal Articles)
  • Knopp JL., Chase JG. and Shaw GM. (2021) The goldilocks problem: Nutrition and its impact on glycaemic control. Clinical Nutrition 40(6): 3677-3687. http://dx.doi.org/10.1016/j.clnu.2021.05.002. (Journal Articles)
  • Knopp JL., Chase JG., Kim KT. and Shaw GM. (2021) Model-based estimation of negative inspiratory driving pressure in patients receiving invasive NAVA mechanical ventilation. Computer Methods and Programs in Biomedicine 208 http://dx.doi.org/10.1016/j.cmpb.2021.106300. (Journal Articles)
  • Knopp JL., Guy E., Kim KT., Shaw GM. and Geoffrey Chase J. (2021) B-spline modelling of inspiratory drive in NAVA-ventilated patients. In IFAC-PapersOnLine 54(15): 103-108. http://dx.doi.org/10.1016/j.ifacol.2021.10.239. (Conference Contributions - Published)
  • Kulawiec DG., Zhou T., Knopp JL. and Chase JG. (2021) Continuous glucose monitoring to measure metabolic impact and recovery in sub-elite endurance athletes. Biomedical Signal Processing and Control 70 http://dx.doi.org/10.1016/j.bspc.2021.103059. (Journal Articles)
  • McDonald MA., Knopp JL., Kim KT., Dixon B. and Geoffrey Chase J. (2021) Estimating patient-specific maximum recruitable volume in neonatal lungs. In IFAC-PapersOnLine 54(15): 180-185. http://dx.doi.org/10.1016/j.ifacol.2021.10.252. (Conference Contributions - Published)
  • Ormsbee JJ., Zhou T., Knopp JL. and Chase JG. (2021) Estimating endogenous glucose production during exercise using heart rate: Implications for diabetes management. In IFAC-PapersOnLine 54(15): 478-483. http://dx.doi.org/10.1016/j.ifacol.2021.10.302. (Conference Contributions - Published)
  • Payne M., Pooke F., Geoffrey Chase J., Campbell J., Holder-Pearson L. and Knopp J. (2021) The separation of insulin pump hardware and software - A novel and low-cost approach to insulin pump design. In IFAC-PapersOnLine 54(15): 502-507. http://dx.doi.org/10.1016/j.ifacol.2021.10.306. (Conference Contributions - Published)
  • Sun Q., Geoffrey Chase J., Zhou C., Tawhai MH., Knopp JL., Möller K. and Shaw GM. (2021) Impact of two lung elastance identification methods on pulmonary mechanics prediction. In IFAC-PapersOnLine 54(15): 97-102. http://dx.doi.org/10.1016/j.ifacol.2021.10.238. (Conference Contributions - Published)
  • Sun Q., Geoffrey Chase J., Zhou C., Tawhai MH., Knopp JL., Möller K. and Shaw GM. (2021) Predicting pulmonary distension in a virtual patient model for mechanical ventilation. In IFAC-PapersOnLine 54(15): 91-96. http://dx.doi.org/10.1016/j.ifacol.2021.10.237. (Conference Contributions - Published)
  • Sun Q., Geoffrey Chase J., Zhou C., Tawhai MH., Knopp JL., Möller K., Heines SJ., Bergmans DC. and Shaw GM. (2021) Minimal lung mechanics basis-functions for a mechanical ventilation virtual patient. In IFAC-PapersOnLine 54(15): 127-132. http://dx.doi.org/10.1016/j.ifacol.2021.10.243. (Conference Contributions - Published)
  • Uyttendaele V., Chase JG., Knopp JL., Gottlieb R., Shaw GM. and Desaive T. (2021) Insulin sensitivity in critically ill patients: are women more insulin resistant? Annals of Intensive Care 11(1) http://dx.doi.org/10.1186/s13613-021-00807-7. (Journal Articles)
  • Uyttendaele V., Knopp JL., Desaive T. and Geoffrey Chase J. (2021) STAR-3D clinical trial results: Improved performance and safety. In IFAC-PapersOnLine 54(15): 490-495. http://dx.doi.org/10.1016/j.ifacol.2021.10.304. (Conference Contributions - Published)
  • Zhou C., Chase JG., Knopp J., Sun Q., Tawhai M., Möller K., Heines SJ., Bergmans DC., Shaw GM. and Desaive T. (2021) Virtual patients for mechanical ventilation in the intensive care unit. Computer Methods and Programs in Biomedicine 199 http://dx.doi.org/10.1016/j.cmpb.2020.105912. (Journal Articles)
  • Zhou C., Geoffrey Chase J., Sun Q., Knopp J., Tawhai MH., Desaive T., Möller K., Shaw GM., Chiew YS. and Benyo B. (2021) Identification of asynchronous effect via pressure-volume loop reconstruction in mechanically ventilated breathing waveforms. In IFAC-PapersOnLine 54(15): 186-191. http://dx.doi.org/10.1016/j.ifacol.2021.10.253. (Conference Contributions - Published)
  • Davidson SM., Uyttendaele V., Pretty CG., Knopp JL., Desaive T. and Chase JG. (2020) Virtual patient trials of a multi-input stochastic model for tight glycaemic control using insulin sensitivity and blood glucose data. Biomedical Signal Processing and Control 59 http://dx.doi.org/10.1016/j.bspc.2020.101896. (Journal Articles)
  • Kim KT., Knopp J., Dixon B. and Chase JG. (2020) Mechanically ventilated premature babies have sex differences in specific elastance: A pilot study. Pediatric Pulmonology 55(1): 177-184. http://dx.doi.org/10.1002/ppul.24538. (Journal Articles)
  • Kim KT., Morton S., Howe S., Chiew YS., Knopp JL., Docherty P., Pretty C., Desaive T., Benyo B. and Szlavecz A. (2020) Model-based PEEP titration versus standard practice in mechanical ventilation: A randomised controlled trial. Trials 21(1) http://dx.doi.org/10.1186/s13063-019-4035-7. (Journal Articles)
  • Knopp JL. (2020) A minimal soil moisture model fit to environmental data from multiple pasture locations in Taranaki, New Zealand. In IFAC-PapersOnLine 53(2): 16703-16708. http://dx.doi.org/10.1016/j.ifacol.2020.12.1109. (Conference Contributions - Published)
  • Knopp JL. and Chase JG. (2020) Clinical Recommendations for Managing the Impact of Insulin Adsorptive Loss in Hospital and Diabetes Care. Journal of Diabetes Science and Technology 15(4): 874-884. http://dx.doi.org/10.1177/1932296820915875. (Journal Articles)
  • Morton SE., Knopp JL., Chase JG., Möller K., Docherty P., Shaw GM. and Tawhai M. (2020) Authors’ Response to Drs. Ece Salihoglu and Ziya Salihoglu’s Letter to the Editor. Annals of Biomedical Engineering 48(1): 2-3. http://dx.doi.org/10.1007/s10439-019-02339-5. (Journal Articles)
  • Morton SE., Knopp JL., Tawhai MH., Docherty P., Heines SJ., Bergmans DC., Möller K. and Chase JG. (2020) Prediction of lung mechanics throughout recruitment maneuvers in pressure-controlled ventilation. Computer Methods and Programs in Biomedicine 197 http://dx.doi.org/10.1016/j.cmpb.2020.105696. (Journal Articles)
  • Morton SE., Knopp JL., Tawhai MH., Docherty P., Moeller K., Heines SJ., Bergmans DC. and Chase JG. (2020) Virtual Patient Modeling and Prediction Validation for Pressure Controlled Mechanical Ventilation. IFAC-PapersOnLine 53(2): 16221-16226. http://dx.doi.org/10.1016/j.ifacol.2020.12.615. (Journal Articles)
  • Murphy L., Davidson S., Chase JG., Knopp JL., Zhou T. and Desaive T. (2020) Patient-Specific Monitoring and Trend Analysis of Model-Based Markers of Fluid Responsiveness in Sepsis: A Proof-of-Concept Animal Study. Annals of Biomedical Engineering 48(2): 682-694. http://dx.doi.org/10.1007/s10439-019-02389-9. (Journal Articles)
  • Ormsbee JJ., Knopp JL. and Chase JG. (2020) Estimating (unidentifiable) enhanced EGP in glycaemic control modelling: Dancing with minions of the Dark Lord. IFAC-PapersOnLine 53(2): 16155-16160. http://dx.doi.org/10.1016/j.ifacol.2020.12.440. (Journal Articles)
  • Ormsbee JJ., Knopp JL. and Chase JG. (2020) Estimating Increased EGP During Stress Response in Critically Ill Patients. Journal of Diabetes Science and Technology 15(4): 856-864. http://dx.doi.org/10.1177/1932296820922842. (Journal Articles)
  • Razak AA., Abu-Samah A., Razak NNA., Jamaludin U., Suhaimi F., Ralib A., Nor MBM., Pretty C., Knopp JL. and Chase JG. (2020) Assessment of glycemic control protocol (STAR) through compliance analysis amongst malaysian ICU patients. Medical Devices: Evidence and Research 13: 139-149. http://dx.doi.org/10.2147/MDER.S231856. (Journal Articles)
  • Uyttendaele V., Knopp JL., Gottlieb R., Shaw GM., Desaive T. and Chase JG. (2020) Insulin Resistance in ICU Patients: Women Have Stronger Metabolic Response. IFAC-PapersOnLine 53(2): 16203-16208. http://dx.doi.org/10.1016/j.ifacol.2020.12.612. (Journal Articles)
  • Uyttendaele V., Knopp JL., Shaw GM., Desaive T. and Chase JG. (2020) Risk and reward: Extending stochastic glycaemic control intervals to reduce workload. BioMedical Engineering Online 19(1) http://dx.doi.org/10.1186/s12938-020-00771-6. (Journal Articles)
  • Abu-Samah A., Knopp JL., Razak NNA., Razak AA., Jamaludin UK., Suhaimi FM., Ralib AM., Nor MBM., Chase JG. and Pretty CG. (2019) Model-based glycemic control in a malaysian intensive care unit: Performance and safety study. Medical Devices: Evidence and Research 12: 215-226. http://dx.doi.org/10.2147/MDER.S187840. (Journal Articles)
  • Benyo B., Knopp J., Szlavecz A., Illyes A., Lynn A. and Chase G. (2019) Inzulin Terápiára Szoruló Koraszülött Csecsemők Biztonságos És Hatékony Vércukor Szabályozása. In Gyermekgyógyászat 70(3): 201-202. Budapest, Hungary: Semmelweis Kiadó. (Conference Contributions - Published)
  • Benyo B., Knopp J., Szlavecz A., Somogyi P., Kovacs K., Illyes A., Lynn A. and Chase G. (2019) Koraszülött Csecsemők Biztonságos És Hatékony Inzulin Terápiájának Értékelése A Legfrisebb Klinikai Adatok Alapján. In ANESZTEZIOLÓGIA ÉS INTENZÍV TERÁPIA 49(S1): 2. Siofok, Hungary: MAGYAR ANESZTEZIOLÓGIAI ÉS INTENZÍV TERÁPIÁS TÁRSASÁG. (Conference Contributions - Published)
  • Davidson S., Pretty C., Uyttendaele V., Knopp J., Desaive T. and Chase JG. (2019) Multi-input stochastic prediction of insulin sensitivity for tight glycaemic control using insulin sensitivity and blood glucose data. Computer Methods and Programs in Biomedicine 182 http://dx.doi.org/10.1016/j.cmpb.2019.105043. (Journal Articles)
  • Dickson JL. and Chase G. (2019) Clinical Compliance in Personalised Model-based Medical Decision Support: Do computers and interfaces yield better compliance? In IFAC-PapersOnLine 51(34): 341-346. Elsevier. http://dx.doi.org/10.1016/j.ifacol.2019.01.021. (Conference Contributions - Published)
  • Dickson JL. and Chase JG. (2019) Clinical Compliance in Personalised Model-based Medical Decision Support: Do computers and interfaces yield better compliance? IFAC-PapersOnLine 51(34): 341-346. http://dx.doi.org/10.1016/j.ifacol.2019.01.021. (Journal Articles)
  • Dickson JLKN., Lynn AM., Shaw GM. and Geoffrey Chase J. (2019) Safe and effective glycaemic control in premature infants: Observational clinical results from the computerised STAR-GRYPHON protocol. Archives of Disease in Childhood: Fetal and Neonatal Edition 104(2): F205-F211. http://dx.doi.org/10.1136/archdischild-2017-314072. (Journal Articles)
  • Kim KT., Knopp J., Dixon B. and Chase G. (2019) Quantifying neonatal pulmonary mechanics in mechanical ventilation. Biomedical Signal Processing and Control 52: 206-217. http://dx.doi.org/10.1016/j.bspc.2019.04.015. (Journal Articles)
  • Klenner JB., Van Noorden BA., Knopp JL., Holder Pearson LR., Hardy AR., Vergeer SL., Shaw GM. and Geoffrey Chase J. (2019) Determining the effects of insulin Detemir on endogenous secretion of insulin. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 2943-2946. http://dx.doi.org/10.1109/EMBC.2019.8857643. (Conference Contributions - Published)
  • Knopp JL., Bishop K. and Chase JG. (2019) A finite element model for insulin adsorption in ICU infusion sets. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 1682-1685. http://dx.doi.org/10.1109/EMBC.2019.8856797. (Conference Contributions - Published)
  • Knopp JL., Bishop K., Lerios T. and Chase JG. (2019) Capacity of Infusion Lines for Insulin Adsorption: Effect of Flow Rate on Total Adsorption. Journal of Diabetes Science and Technology 15(1): 109-120. http://dx.doi.org/10.1177/1932296819876924. (Journal Articles)
  • Knopp JL., Hardy AR., Vergeer S. and Chase JG. (2019) Modelling insulin adsorption in intravenous infusion sets in the intensive care unit. IFAC Journal of Systems and Control 8: 100042. http://dx.doi.org/10.1016/j.ifacsc.2019.100042. (Journal Articles)
  • Knopp JL., Holder-Pearson L. and Chase JG. (2019) Insulin Units and Conversion Factors: A Story of Truth, Boots, and Faster Half-Truths. Journal of Diabetes Science and Technology 13(3): 597-600. http://dx.doi.org/10.1177/1932296818805074. (Journal Articles)
  • Knopp JL., Signal M., Harris DL., Marics G., Weston P., Harding J., Tóth-Heyn P., Hómlok J., Benyó B. and Chase JG. (2019) Modelling intestinal glucose absorption in premature infants using continuous glucose monitoring data. Computer Methods and Programs in Biomedicine 171: 41-51. http://dx.doi.org/10.1016/j.cmpb.2018.10.005. (Journal Articles)
  • Morton SE., Knopp JL., Chase JG., Docherty P., Howe SL., Möller K., Shaw GM. and Tawhai M. (2019) Optimising mechanical ventilation through model-based methods and automation. Annual Reviews in Control 48: 369-382. http://dx.doi.org/10.1016/j.arcontrol.2019.05.001. (Journal Articles)
  • Morton SE., Knopp JL., Chase JG., Möller K., Docherty P., Shaw GM. and Tawhai M. (2019) Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function. Annals of Biomedical Engineering 47(7): 1626-1641. http://dx.doi.org/10.1007/s10439-019-02253-w. (Journal Articles)
  • Murphy L., Davidson S., Knopp JL., Chase JG., Zhou T. and Desaive T. (2019) State Analysis of Total Stressed Blood Volume and Arterial Elastance during Induced Sepsis. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 2951-2954. http://dx.doi.org/10.1109/EMBC.2019.8857518. (Conference Contributions - Published)
  • Uyttendaele V., Knopp JL., Davidson S., Desaive T., Benyo B., Shaw GM. and Chase JG. (2019) 3D kernel-density stochastic model for more personalized glycaemic control: Development and in-silico validation. BioMedical Engineering Online 18(1) http://dx.doi.org/10.1186/s12938-019-0720-8. (Journal Articles)
  • Uyttendaele V., Knopp JL., Pirotte M., Morimont P., Lambermont B., Shaw GM., Desaive T. and Chase JG. (2019) STAR-Liège Clinical Trial Interim Results: Safe and Effective Glycemic Control for All. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 277-280. http://dx.doi.org/10.1109/EMBC.2019.8856303. (Conference Contributions - Published)
  • Uyttendaele V., Knopp JL., Shaw GM., Desaive T. and Chase JG. (2019) Is intensive insulin therapy the scapegoat for or cause of hypoglycaemia and poor outcome? IFAC Journal of Systems and Control 9 http://dx.doi.org/10.1016/j.ifacsc.2019.100063. (Journal Articles)
  • van Noorden B., Knopp JL. and Chase JG. (2019) A subcutaneous insulin pharmacokinetic model for insulin Detemir. Computer Methods and Programs in Biomedicine 178: 1-9. http://dx.doi.org/10.1016/j.cmpb.2019.06.007. (Journal Articles)
  • Zhou T., Knopp JL. and Chase JG. (2019) The state of variability: A vision for descriptors of glycaemia. Annual Reviews in Control 48: 472-484. http://dx.doi.org/10.1016/j.arcontrol.2019.06.004. (Journal Articles)
  • Abu-Samah A., Ahamad NH., Razak NN., Suhaimi FM., Jamaluddin UK., Ralib AM., Mat-Nor MB., Pretty CG., Dickson JL. and Chase G. (2018) Model-based insulin-nutrition administration for glycemic control in Malaysian critical care: First pilot trial. In IFMBE Proceedings 67: 189-196. http://dx.doi.org/10.1007/978-981-10-7554-4_33. (Conference Contributions - Published)
  • Argus F., Sutherland C., McNearney E., Chakson J., Dickson J., Redmond D., Kim K-T., Docherty PD. and Chase J. (2018) Predicting the Effects of Changing PEEP Using a Basis Function Method. Toulouse, France: 20th IFAC World Congress, 9-14 Jul 2018. (Conference Contributions - Other)
  • Chase G., Dickson JL., Chiew YS. and Shaw GM. (2018) Respiratory Care in the ICU: Models, Engineering, Productivity and Next-Generation Care. Auckland, NZ: MedTech CoRE Conference 2018, 11-13 Jun 2018. (Conference Contributions - Other)
  • Chase G., Shaw GM., Dickson JL., Zhou C., Pretty CG., Rodgers GW., Haggers M., Ormsby Z., Benyo B. and Moeller K. (2018) Smart mechatronics in medicine. Auckland, NZ: ,” 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2018), 9-12 Jul 2018. (Conference Contributions - Other)
  • Chase JG., Preiser JC., Dickson JL., Pironet A., Chiew YS., Pretty CG., Shaw GM., Benyo B., Moeller K. and Safaei S. (2018) Next-generation, personalised, model-based critical care medicine: A state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them. BioMedical Engineering Online 17(1) http://dx.doi.org/10.1186/s12938-018-0455-y. (Journal Articles)
  • Dickson JL., Stewart KW., Pretty CG., Flechet M., Desaive T., Penning S., Lambermont BC., Benyo B., Shaw GM. and Chase JG. (2018) Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care. IEEE Transactions on Biomedical Engineering 65(7): 1543-1553. http://dx.doi.org/10.1109/TBME.2017.2686432. (Journal Articles)
  • Hardy AR., Chase JG. and Knopp JL. (2018) Model based insulin absorption into intravenous infusion sets in adult and neonatal intensive care unit's. IFAC-PapersOnLine 51(27): 24-29. http://dx.doi.org/10.1016/j.ifacol.2018.11.602. (Journal Articles)
  • Hardy AR., Dickson JL., Shaw GM. and Chase JG. (2018) Comparison of modulated and clinically set nutrition protocol's for STAR. IFAC-PapersOnLine 51(27): 384-389. http://dx.doi.org/10.1016/j.ifacol.2018.11.608. (Journal Articles)
  • Holder-Pearson L., Bekisz S., Knopp J., Docherty P., Chase JG. and Desaive T. (2018) Model-based Modified OGTT Insulin Sensitivity Test Design. IFAC-PapersOnLine 51(27): 86-91. http://dx.doi.org/10.1016/j.ifacol.2018.11.662. (Journal Articles)
  • Kannangara O., Dickson JL. and Chase JG. (2018) Specific compliance: is it truly independent of lung volume? IFAC-PapersOnLine 51(27): 299-304. http://dx.doi.org/10.1016/j.ifacol.2018.11.625. (Journal Articles)
  • Kim KT., Howe S., Chiew YS., Knopp J. and Chase JG. (2018) Lung Mechanics in Premature infants: Modelling and clinical validation. IFAC-PapersOnLine 51(27): 225-230. http://dx.doi.org/10.1016/j.ifacol.2018.11.638. (Journal Articles)
  • Morton S., Docherty P., Dickson J. and Chase JG. (2018) An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model. Current Directions in Biomedical Engineering 4(1): 255-258. http://dx.doi.org/10.1515/cdbme-2018-0062. (Journal Articles)
  • Morton SE., Dickson J., Chase JG., Docherty P., Desaive T., Howe SL., Shaw GM. and Tawhai M. (2018) A virtual patient model for mechanical ventilation. Computer Methods and Programs in Biomedicine 165: 77-87. http://dx.doi.org/10.1016/j.cmpb.2018.08.004. (Journal Articles)
  • Morton SE., Dickson JL., Chase JG., Docherty PD., Howe SL., Shaw GM. and Tawhai M. (2018) Basis function identification of lung mechanics in mechanical ventilation for predicting outcomes of therapy changes: A first virtual patient. 51(15): 299-304. http://dx.doi.org/10.1016/j.ifacol.2018.09.151. (Journal Articles)
  • Morton SE., Dickson JL., Chase JG., Docherty PD., Howe SL., Shaw GM. and Tawhai M. (2018) Basis function identification of lung mechanics in mechanical ventilation for predicting outcomes of therapy changes: A first virtual patient. In IFAC-PapersOnLine 51(15): 299-304. IFAC Secretariat. http://dx.doi.org/10.1016/j.ifacol.2018.09.151. (Conference Contributions - Published)
  • Morton SE., Docherty PD., Dickson JL. and Chase G. (2018) An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model. In Biomedical Engineering / Biomedizinische Technik 63(s1): S189-S189. De Gruyter. http://dx.doi.org/10.1515/bmt-2018-6036. (Conference Contributions - Published)
  • Morton SE., Knopp JL., Chase JG., Docherty PD., Howe SL., Shaw GM. and Tawhai M. (2018) Development of a Predictive Pulmonary Elastance Model to Describe Lung Mechanics throughout Recruitment Manoeuvres. IFAC-PapersOnLine 51(27): 215-220. http://dx.doi.org/10.1016/j.ifacol.2018.11.640. (Journal Articles)
  • Morton SE., Knopp JL., Docherty PD., Shaw GM. and Chase JG. (2018) Validation of a Model-based Method for Estimating Functional Volume Gains during Recruitment Manoeuvres in Mechanical Ventilation. IFAC-PapersOnLine 51(27): 231-236. http://dx.doi.org/10.1016/j.ifacol.2018.11.637. (Journal Articles)
  • Uyttendaele V., Dickson JL., Morton S., Shaw G., Desaive T. and Chase JG. (2018) Changes in Identified, Model-based Insulin Sensitivity can be used to Improve Risk and Variability Forecasting in Glycaemic Control. 51(15): 311-316. http://dx.doi.org/10.1016/j.ifacol.2018.09.153. (Journal Articles)
  • Uyttendaele V., Knopp JL., Pirotte M., Guiot J., Morimont P., Lambermont B., Shaw GM., Desaive T. and Chase JG. (2018) Preliminary results from the STAR-Liège clinical trial: Virtual trials, safety, performance, and compliance analysis. IFAC-PapersOnLine 51(27): 355-360. http://dx.doi.org/10.1016/j.ifacol.2018.11.614. (Journal Articles)
  • Uyttendaele V., Knopp JL., Shaw GM., Desaive T. and Chase JG. (2018) 3D Stochastic Modelling of Insulin Sensitivity in STAR: Virtual trials analysis. IFAC-PapersOnLine 51(27): 128-133. http://dx.doi.org/10.1016/j.ifacol.2018.11.655. (Journal Articles)
  • Uyttendaele V., Knopp JL., Shaw GM., Desaive T. and Chase JG. (2018) Improved 3D Stochastic Modelling of Insulin Sensitivity Variability for Improved Glycaemic Control. IFAC-PapersOnLine 51(27): 198-203. http://dx.doi.org/10.1016/j.ifacol.2018.11.643. (Journal Articles)
  • Uyttendaele V., Knopp JL., Stewart KW., Desaive T., Benyó B., Szabó-Némedi N., Illyés A., Shaw GM. and Chase JG. (2018) A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control. Biomedical Signal Processing and Control 46: 192-200. http://dx.doi.org/10.1016/j.bspc.2018.05.032. (Journal Articles)
  • Zhou T., Dickson JL. and Geoffrey Chase J. (2018) Autoregressive Modeling of Drift and Random Error to Characterize a Continuous Intravascular Glucose Monitoring Sensor. Journal of Diabetes Science and Technology 12(1): 90-104. http://dx.doi.org/10.1177/1932296817719089. (Journal Articles)
  • Zhou T., Dickson JL., Shaw GM. and Chase JG. (2018) Continuous Glucose Monitoring Measures Can Be Used for Glycemic Control in the ICU: An In-Silico Study. Journal of Diabetes Science and Technology 12(1): 7-19. http://dx.doi.org/10.1177/1932296817738791. (Journal Articles)
  • Zhou T., Knopp J., McKinlay CJD., Gamble GD., Harding JE. and Chase JG. (2018) Glycaemic State Analysis from Continuous Glucose Monitoring Measurements in Infants. IFAC-PapersOnLine 51(27): 276-281. http://dx.doi.org/10.1016/j.ifacol.2018.11.629. (Journal Articles)
  • Zhou T., Knopp J., Shaw GM. and Chase JG. (2018) An in-silico Study of Using Continuous Glucose Monitoring Measures for Glycaemic Control in the ICU. IFAC-PapersOnLine 51(27): 361-366. http://dx.doi.org/10.1016/j.ifacol.2018.11.613. (Journal Articles)
  • Abu-Samah A., Ahmad NH., Razak NN., Suhaimi F., Jamaludin UK., Ralib AM., Mat-Nor MB., Dickson JL., Pretty CG. and Chase JG. (2017) Decision Support for Parenteral Nutrition Supplementation in ICU Using Model-Based Glycemic Control Protocol. In Ibrahim F; Usman J; Ahmad M; Hamzah N; Teh S (Eds). Ifmbe Proceedings 67: 171-176. Springer Verlag. http://dx.doi.org/10.1007/978-981-10-7554-4_30. (Conference Contributions - Published)
  • Argus FJ., Sutherland CJ., Chakson J., McNearney E., Dickson JL., Redmond D., Kim K., Docherty PD. and Chase JG. (2017) Predicting the Effects of Changing PEEP Using a Basis Function Method. In IFAC-PapersOnLine. (Conference Contributions - Published)
  • Benyo BI., Uyttendaele V., Dickson JL., Stewart K., Szlavecz A., Illyes A., Szabo-Nemedi N., Chase JG. and Shaw G. (2017) Intenzív osztályon ápolt túlélő és nem-túlélő betegek összehasonlítása a vércukor szabályozás nehézsége szempontjából. Siófok, Magyarország (Hungary): 44th MAITT továbbképő napok és nemzetközi kongresszus, 18-20 May 2017. (Conference Contributions - Other)
  • Chakson J., McNearney E., Argus FJ., Sutherland CJ., Dickson JL., Redmond D., Kim K., Docherty PD. and Chase JG. (2017) Analysis of Neonatal Pulmonary Mechanics. In. (Conference Contributions - Published)
  • Chase JG. and Dickson JL. (2017) Traversing the valley of glycemic control despair. Critical Care 21(1) http://dx.doi.org/10.1186/s13054-017-1824-9. (Journal Articles)
  • Chase JG., Dickson JL. and Benyo B. (2017) Traversing the valley of glycemic control despair. Szeged, Hungary: Szegedi Intensives Talalkozo (szInt 2017), 16 Nov 2017-18 Nov 2018. (Conference Contributions - Other)
  • Chase JG., Dickson JL., Morton SE., Howe S., Kim KT., Kanangara O. and Shaw GM. (2017) Model-based mechanical ventilation: managing pulmonary disease using computation. Wellington, NZ: HRC Workshop on Cancer, Metabolic Diseases, Brain Health, Antimicrobial Resistance and Respiratory Diseases, 13-14 Dec 2017. (Conference Contributions - Other)
  • Chase JG., Dickson JL., Pretty CG., Shaw G. and Desaive T. (2017) Pancreatic Function: An Overview of Modelling, Methods and Considerations. Brussels, Belgium: 37th International Symposium on Intensive Care and Emergency Medicine (ISICEM), 20-23 Mar 2017. (Conference Contributions - Other)
  • Chase JG., Dickson JL., Pretty CG., Shaw G. and Desaive T. (2017) Tools for Physiological Studies and Clinical Application Models, Model-based SI and the Virtual Patient. Brussels, Belgium: 37th International Symposium on Intensive Care and Emergency Medicine (ISICEM), 20-23 Mar 2017. (Conference Contributions - Other)
  • Dickson JL., Chase JG. and Lynn A. (2017) STAR-GRYPHON in the Neonatal ICU: 5 Years of Safe, Successful Glycemic Control. Bethesda, MD, USA: Diabetes Technology Meeting, 2-4 Nov 2017. (Conference Contributions - Other)
  • Dickson JL., Chase JG., Lynn A. and Shaw GM. (2017) Model-based glycaemic control: Methodology and initial results from neonatal intensive care. Biomedizinische Technik 62(2): 225-233. http://dx.doi.org/10.1515/bmt-2016-0051. (Journal Articles)
  • Dickson JL., Lynn A., Shaw G. and Chase JG. (2017) Blood sugar control in the neonatal intensive care unit. Auckland, NZ: Medtech CoRE Conference, 20 Jun 2017. (Conference Contributions - Other)
  • Dickson JL., Pretty CG., Alsweiler J., Lynn A. and Chase JG. (2017) Insulin kinetics and the Neonatal Intensive Care Insulin–Nutrition–Glucose (NICING) model. Mathematical Biosciences 284: 61-70. http://dx.doi.org/10.1016/j.mbs.2016.08.006. (Journal Articles)
  • Hegarty JE., Harding JE., Oliver MH., Gamble G., Dickson JL., Chase G. and Jaquiery AL. (2017) Oral dextrose gel to improve survival in less vigorous newborn triplet lambs: a randomised controlled trial. New Zealand Journal of Agricultural Research 60(1): 54-69. http://dx.doi.org/10.1080/00288233.2016.1240091. (Journal Articles)
  • Howe S., Pretty CG., Redmond D., Kim KT., Dickson JL. and Chase JG. (2017) Relating Expiratory Inspiratory Elastance in Mechanical Ventilation. Auckland, NZ: Medtech CoRE Conference, 20 Jun 2017. (Conference Contributions - Other)
  • McKinlay CJD., Chase JG., Dickson J., Harris DL., Alsweiler JM. and Harding JE. (2017) Continuous glucose monitoring in neonates: a review.. Maternal health, neonatology and perinatology 3: 18-18. http://dx.doi.org/10.1186/s40748-017-0055-z. (Journal Articles)
  • Morton S., Dickson J., Docherty PD., Shaw G. and Chase JG. (2017) Development of a Predictive Model for Pulmonary Elastance. Christchurch, New Zealand: Heath Research Society of Canterbury Grand Rounds, 4-4 Mar 2017. (Conference Contributions - Other)
  • Morton SE., Dickson JL., Docherty PD., Shaw G. and Chase JG. (2017) Development of Virtual Patients for use in Mechanical Ventilation. Auckland, NZ: Medtech CoRE Conference, 20 Jun 2017. (Conference Contributions - Other)
  • Shaw G., Stewart K., Pretty CG., Dickson JL. and Chase JG. (2017) Safe, effective glycaemic control is not inconsistent with high nutritional intake. Gold Coast, Australia: 42nd Australia-New Zealand Annual Scientific Meeting on Intensive Care (ANZICS 2017), 11-13 Oct 2017. (Conference Contributions - Other)
  • Thomas F., Pretty CG., Dickson J., Signal M., Shaw G. and Chase J. (2017) A Simple Method to Model a Continuous Glucose Monitoring Signal. In. (Conference Contributions - Published)
  • Uyttendaele U., Dickson JL., Shaw GM., Desaive T. and Chase JG. (2017) Virtual Trials of the NICE-SUGAR Protocol: The Impact on Performance of Protocol and Protocol Compliance. In. (Conference Contributions - Published)
  • Uyttendaele V., Dickson JL., Shaw G., Desaive T. and Chase JG. (2017) Improved Blood Glucose Forecasting Models using Changes in Insulin Sensitivity in Intensive Care Patients. Liege Belgium: GIGA Day 2017, 1 Feb 2017. (Conference Contributions - Other)
  • Uyttendaele V., Dickson JL., Shaw GM., Desaive T. and Chase JG. (2017) Untangling glycaemia and mortality in critical care. Critical Care 21(1) http://dx.doi.org/10.1186/s13054-017-1725-y. (Journal Articles)
  • Uyttendaele V., Dickson JL., Stewart K., Illyes A., Szabo-Nemedi N., Benyo BI., Shaw G., Desaive T. and Chase JG. (2017) Glycaemic Control in ICU: Stable Patients Tend to Remain Stable. Bethesda, MD, USA: Diabetes Technology Meeting, 2-4 Nov 2017. (Conference Contributions - Other)
  • Zhou T., Dickson JL. and Chase JG. (2017) Auto-regressive modelling of drift and random error to characterise the GlySure CGM. Bethesda, MD, USA: Diabetes Technology Meeting, 2-4 Nov 2017. (Conference Contributions - Other)
  • Zhou T., Dickson JL. and Chase JG. (2017) CGM-enabled STAR: A virtual trial analysis. Bethesda, MD, USA: Diabetes Technology Meeting, 2-4 Nov 2017. (Conference Contributions - Other)
  • Zhou T., Dickson JL. and Chase JG. (2017) Modelling Continuous Glucose Monitors. Auckland, NZ: Medtech CoRE Conference, 20 Jun 2017. (Conference Contributions - Other)
  • Zhou T., Dickson JL. and Chase JG. (2017) An Auto-regressive Model for an Arterial Continuous Glucose Monitoring Sensor. In. (Conference Contributions - Published)
  • Chappell MJ., Dickson J., Radde N. and Chase JG. (2016) Preface. Mathematical Biosciences http://dx.doi.org/10.1016/j.mbs.2016.12.003. (Journal Articles)
  • Chase JG., Dickson JL. and Shaw GM. (2016) Who doesn’t benefit – Glycemic control, organ failure and risk of death. In Critical Care 20(S2): 1. BioMed Central. http://dx.doi.org/10.1186/s13054-016-1208-6. (Conference Contributions - Published)
  • Chiew YS., Docherty PD., Dickson JL., Moltchanova E., Scarrott C., Pretty CG., Shaw GM. and Chase JG. (2016) Simulation-Based Design Of A Robust Stopping Rule To Ensure Patient Safety. Brussels, Belgium: 36th International Symposium on Intensive Care and Emergency Medicine (ISICEM), 15-18 Mar 2016. (Conference Contributions - Other)
  • Chiew YS., Shaw GM., Docherty P., Dickson J., Pretty C. and Chase JG. (2016) Early clinical trial termination: Simulation-based design of a robust stopping rule using difference in interventional effect on mortality. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences: 484-489. http://dx.doi.org/10.1109/IECBES.2016.7843498. (Conference Contributions - Published)
  • Dickson JL., Alsweiler J., Gunn CA., Pretty CG. and Chase JG. (2016) A C-Peptide-Based Model of Pancreatic Insulin Secretion in Extremely Preterm Neonates in Intensive Care. Journal of Diabetes Science and Technology 10(1): 111-118. http://dx.doi.org/10.1177/1932296815596175. (Journal Articles)
  • Dickson JL., Le Compte AJ., Lynn A., Shaw GM. and Chase JG. (2016) Modeling glucose-insulin physiology in premature neonates for glycaemic control in intensive care. Tsukuba, Japan: 8th Annual JSPS Hope Meeting Conference, 7-11 Mar 2016. (Conference Contributions - Other)
  • Shaw GM., Stewart KW., Dickson JL., Pretty CG. and Chase JG. (2016) The Secret to Safe, Effective and Successful Insulin Dosing. Perth, Australia: 41st ANZICS/ACCN Intensive Care Annual Scientific Meeting, 20-22 Oct 2016. (Conference Contributions - Other)
  • Shaw GM., Uyttendaele V., Dickson JL., Stewart KW., Desaive T. and Chase JG. (2016) Glycemic Variability and Mortality in Glycemic Control – Protocol or Patient? In : 1. (Conference Contributions - Published)
  • Stewart KW., Chase JG., Dickson JL., Pretty CG. and Shaw GM. (2016) Can we fix it? Yes we can! Simplifying nutrition in STAR Glycemic Control. Bethesda, MD: 16th Annual Diabetes Technology Meeting (DTM), 10-12 Nov 2016. (Conference Contributions - Other)
  • Stewart KW., Dickson JL., Pretty CG., Shaw GM. and Chase JG. (2016) Variability is a constant! Insulin sensitivity and its variability in 4 ICU Cohorts. Bethesda, MD: 16th Annual Diabetes Technology Meeting (DTM), 10-12 Nov 2016. (Conference Contributions - Other)
  • Stewart KW., Pretty CG., Dickson JL., Shaw GM., Benyo B., Illyes A., Szabo Nemedi N. and Chase JG. (2016) Development of a clinically successful tablet-based ICU glycemic control protocol. Auckland, NZ: Medtech CoRE Conference, 20-20 Jun 2016. (Conference Contributions - Other)
  • Uyttendaele V., Dickson JL., Stewart KW., Shaw GM., Desaive T. and Chase JG. (2016) Are Survivors Easier to Control? Why the Association of Glycemia and Mortality in Critical Care is Real. In : 1. (Conference Contributions - Published)
  • Uyttendaele V., Dickson JL., Stewart KW., Shaw GM., Desaive T. and Chase JG. (2016) When NICE is Not Nice: Performance of Two ICU Glycaemic Control Protocols. In : 1. (Conference Contributions - Published)
  • Dickson J., Signal M., Harris DL., Gabor M., Weston PJ., Harding JE., Tóth-Heyn P., Hómlok J., Benyó B. and Chase JG. (2015) Modeling Intestinal Glucose Absorption using Continuous Glucose Monitor Data. In IFAC-PapersOnLine 48(20): 118-123. http://dx.doi.org/10.1016/j.ifacol.2015.10.125. (Conference Contributions - Published)
  • Dickson JL. (2015) Safe, Effective and Patient-specific Glycaemic Control in Neonatal Intensive Care. Christchurch, New Zealand. University of Canterbury. (Theses / Dissertations)
  • Dickson JL., Chase JG., Pretty CG., Gunn CA. and Alsweiler JA. (2015) Hyperglycaemic preterm babies have sex differences in insulin secretion. Neonatology 108(2): 93-98. http://dx.doi.org/10.1159/000381206. (Journal Articles)
  • Dickson JL., Pretty CG., Fisk L., Alsweiler J. and Chase JG. (2015) Modelling Insulin Clearance and Degradation in Very Premature Infants. In IFAC-PapersOnLine 48(20): 13-18. http://dx.doi.org/10.1016/j.ifacol.2015.10.107. (Conference Contributions - Published)
  • Dickson JL., Thomas F., Pretty CG., Stewart K., Shaw GM. and Chase JG. (2015) Evaluation of a plasma insulin model for glycaemic control in intensive care. In EMBC2015 Proceedings: 4009-4012. http://dx.doi.org/10.1109/EMBC.2015.7319273. (Conference Contributions - Published)
  • Thomas F., Dickson JL., Pretty CG., Stewart K., Fisk L., Shaw GM. and Chase JG. (2015) Accuracy and Optimization of a Subcutaneous Insulin Model for Less Acute Critical Care Patients. In EMBC2015 Proceedings: 4435-4438. (Conference Contributions - Published)
  • Dickson JL., Chase JG., Gunn CA., Pretty CG., Lynn A. and Alsweiler J. (2014) Gender and glycaemia: Insulin sensitivity and secretion in premature neonates. Cape Town, South Africa: 19th World Congress of the International Federation of Automatic Control 2014 (IFAC), 24-29 Aug 2014. (Conference Contributions - Other)
  • Dickson JL., Gunn CA. and Chase JG. (2014) Humans are horribly variable. International Journal of Clinical & Medical Imaging 1(2): 1000142. http://dx.doi.org/10.4172/ijcmi.1000142. (Journal Articles)
  • Dickson JL., Hewitt JN., Pretty CG., Gunn CA., Lynn A., Shaw GM. and Chase JG. (2014) Modeling endogenous glucose production for model-based tight glycaemic control in the neonatal intensive care unit. Hannover, Germany: 48th German Society for Biomedical Engineering Conference (BMT 2014), 8-10 Oct 2014. (Conference Contributions - Other)
  • Dickson JL., Lynn A., Benyo B., Shaw GM. and Chase JG. (2014) Glycemic control in the women's hospital NICU. Christchurch, New Zealand: 3rd MedTech in Christchurch Workshop, 16-16 Dec 2014. (Conference Contributions - Other)
  • Dickson JL., Lynn A., Gunn CA., Le Compte AJ., Fisk L., Shaw GM. and Chase JG. (2014) Performance and Safety of STAR Glycaemic Control in Neonatal Intensive Care: Further Clinical Results Including Pilot Results from a New Protocol Implementation. In : 6pp. (Conference Contributions - Published)
  • Dickson JL., Lynn AM., Le Compte AJ., Desaive T., Benyo B. and Chase JG. (2014) Clinical Results From a Glycaemic Control Protocol Implementation in Neonatal Care. Brussels, Belgium: 13th Belgian Day on Biomedical Engineering, 28-28 Nov 2014. (Conference Contributions - Other)
  • Dickson JL., Signal MK., Benyo B., Homlok J., Marics G. and Chase JG. (2014) Gut Absorption Rates for Glucose in Term and Premature NICU Infants Using CGM Data. Bethesda, MD, USA: 14th Annual Diabetes Technology Meeting (DTM), 6-8 Nov 2014. (Conference Contributions - Other)
  • Fisk LM., Docherty PD., Pretty CG., Dickson JL., Shaw GM. and Chase JG. (2014) Virtual Trials with b-sline Basis Functions and Stochastic Differential Equations. Cape Town, South Africa: 19th World Congress of the International Federation of Automatic Control (IFAC 2014), 20-24 Aug 2014. (Conference Contributions - Other)
  • Gunn CA., Dickson JL., Pretty CG., Alsweiler JM., Lynn A., Shaw GM. and Chase JG. (2014) Brain Mass Estimation by Head Circumference and Body Mass Methods in Neonatal Glycaemic Modelling and Control. Computer Methods and Programs in Biomedicine 115(2): 47-54. http://dx.doi.org/10.1016/j.cmpb.2014.03.006. (Journal Articles)
  • Thomas FL., Watson A., Tomlinson H., Borowczyk H., Pretty CG., Fisk L., Dickson JL., Chiew YS., Shaw GM. and Chase JG. (2014) Magic DRAGONS: A Protocol for Accurate Glycaemic Control in General Wards. Cape Town, South Africa: 19th World Congress of the International Federation of Automatic Control 2014 (IFAC), 24-29 Aug 2014. (Conference Contributions - Other)
  • Chase JG., Benyo B., Desaive T., Fisk L., Dickson JL., Penning S., Signal MK., Illyes A., Szabo-Nemedi N. and Shaw GM. (2013) Uncertainty, Safety, and Performance: A Generalizable Approach to Risk-Based (Therapeutic) Decision Making. In Agah A (Ed.), Medical Applications of Artificial Intelligence: 233-246. Boston: CRC Press. (Chapters)
  • Dickson JL., Floyd RP., Le Compte AJ., Fisk LM., Chase JG., Lynn A. and Shaw GM. (2013) External validation and sub-cohort analysis of stochastic forecasting models in NICU cohorts. Biomedical Signal Processing & Control (BSPC) 8(4): 409-419. http://dx.doi.org/10.1016/j.bspc.2013.01.006. (Journal Articles)
  • Dickson JL., Hewett JN., Gunn CA., Lynn A., Shaw GM. and Chase JG. (2013) On the problem of patient-specific endogenous glucose production in neonates on stochastic targeted glycemic control. Journal of Diabetes Science and Technology 7(4): 913-927. http://dx.doi.org/10.1177/193229681300700414. (Journal Articles)
  • Dickson JL., Le Compte AJ., Floyd RP., Chase JG., Lynn A. and Shaw GM. (2013) Development and optimisation of stochastic targeted (STAR) glycaemic control for pre-term infants in neonatal intensive care. Biomedical Signal Processing and Control 8(2): 215-221. http://dx.doi.org/10.1016/j.bspc.2012.08.002. (Journal Articles)
  • Gunn CA., Dickson JL., Hewett JN., Chase JG., Lynn A., Rose HJ., Clarkson SH. and Shaw GM. (2013) Nasogastric aspiration as an indicator for feed absorption in model-based glycaemic control in neonatal intensive care. Journal of Diabetes Science and Technology (JoDST) 7(3): 717-726. (Journal Articles)
  • Dickson JL., Le Compte AJ., Floyd RP., Chase JG., Lynn A. and Shaw GM. (2012) Development and optimisation of stochastic targeted (STAR) glycaemic control for neonatal intensive care. In Biological and Medical Systems 8(1): 319-324. http://dx.doi.org/10.3182/20120829-3-HU-2029.00034. (Conference Contributions - Published)
  • Floyd RP., Dickson JL., Le Compte AJ., Chase JG., Lynn A. and Shaw GM. (2012) External validation and sub-cohort analysis of stochastic forecasting models in NICU cohorts. In Biological and Medical Systems 8(1): 313-318. http://dx.doi.org/10.3182/20120829-3-HU-2029.00110. (Conference Contributions - Published)

Review and Refereeing

  • 8th IFAC Symposium for Biological and Medical Systems ( 2012 )
  • 9th IFAC Symposium on Biological and Medical Systems ( 2015 )
  • IFAC 19th World Congress ( 2013 - 2015)
  • IFAC 20th World Congress ( 2016 - 2017)
  • IFAC ICONS 2016 ( 2016 )
  • Computational and Mathematical Methods in Medicine ( 2016 - 2023)
  • Control Engineering Practice ( 2015 - 2023)
  • IEEE Transactions on Biomedical Engineering ( 2017 - 2023)
  • Mathematical Biosciences ( 2015 - 2017)
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