Geoffrey M Shaw

Summary

Country: New Zealand

Publications

  1. ncbi request reprint Modelling the cardiovascular system
    Geoffrey M Shaw
    Department of Medicine, University of Otago, Christchurch, New Zealand
    Crit Care Resusc 9:264-9. 2007
  2. pmc Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients
    Sophie Penning
    Cardiovascular Research Centre, Institut de Physique, Universite de Liege, Institut de Physics, Allee du 6 Aout, 17 Bât B5, Liege, B4000 Liege, Liege, Belgium
    Biomed Eng Online 11:58. 2012
  3. pmc Clinical detection and monitoring of acute pulmonary embolism: proof of concept of a computer-based method
    James A Revie
    Cardiovascular Research Center, University of Liege, Belgium
    Ann Intensive Care 1:33. 2011
  4. pmc Model-based PEEP optimisation in mechanical ventilation
    Yeong Shiong Chiew
    Department of Mechanical Engineering, University of Canterbury, New Zealand
    Biomed Eng Online 10:111. 2011
  5. pmc Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Clyde Road, Private Bag 4800, Christchurch 8140, New Zealand
    Crit Care 12:R49. 2008
  6. ncbi request reprint Rethinking glycaemic control in critical illness--from concept to clinical practice change
    Geoffrey M Shaw
    Christchurch School of Medicine and Health Sciences, University of Otago, Christchurch, New Zealand
    Crit Care Resusc 8:90-9. 2006
  7. ncbi request reprint Model-based insulin and nutrition administration for tight glycaemic control in critical care
    J Geoffrey Chase
    University of Canterbury, Department of Mechanical Engineering, Centre for Bio Engineering, Christchurch, New Zealand
    Curr Drug Deliv 4:283-96. 2007
  8. pmc Stochastic targeted (STAR) glycemic control: design, safety, and performance
    Alicia Evans
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:102-15. 2012
  9. pmc Interface design and human factors considerations for model-based tight glycemic control in critical care
    Logan Ward
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:125-34. 2012
  10. pmc Data entry errors and design for model-based tight glycemic control in critical care
    Logan Ward
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:135-43. 2012

Detail Information

Publications75

  1. ncbi request reprint Modelling the cardiovascular system
    Geoffrey M Shaw
    Department of Medicine, University of Otago, Christchurch, New Zealand
    Crit Care Resusc 9:264-9. 2007
    ..In the future, models and modern sensors will increasingly "invade" the critical care environment, and will provide the opportunity for better, more consistent care at the bedside in real time...
  2. pmc Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients
    Sophie Penning
    Cardiovascular Research Centre, Institut de Physique, Universite de Liege, Institut de Physics, Allee du 6 Aout, 17 Bât B5, Liege, B4000 Liege, Liege, Belgium
    Biomed Eng Online 11:58. 2012
    ..The main objective is reducing measurement frequency while maintaining performance and safety of the glycemic control...
  3. pmc Clinical detection and monitoring of acute pulmonary embolism: proof of concept of a computer-based method
    James A Revie
    Cardiovascular Research Center, University of Liege, Belgium
    Ann Intensive Care 1:33. 2011
    ..abstract:..
  4. pmc Model-based PEEP optimisation in mechanical ventilation
    Yeong Shiong Chiew
    Department of Mechanical Engineering, University of Canterbury, New Zealand
    Biomed Eng Online 10:111. 2011
    ..Patient-specific PEEP is encouraged for treating different patients but there is no well established method in optimal PEEP selection...
  5. pmc Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Clyde Road, Private Bag 4800, Christchurch 8140, New Zealand
    Crit Care 12:R49. 2008
    ..75 mmol/L can reduce mortality and improve clinical outcomes. The Specialised Relative Insulin Nutrition Tables (SPRINT) protocol is a simple wheel-based system that modulates insulin and nutritional inputs for tight glycaemic control...
  6. ncbi request reprint Rethinking glycaemic control in critical illness--from concept to clinical practice change
    Geoffrey M Shaw
    Christchurch School of Medicine and Health Sciences, University of Otago, Christchurch, New Zealand
    Crit Care Resusc 8:90-9. 2006
    ..To examine the practical difficulties in managing hyperglycaemia in critical illness and to present recently developed model-based glycaemic management protocols to provide tight control...
  7. ncbi request reprint Model-based insulin and nutrition administration for tight glycaemic control in critical care
    J Geoffrey Chase
    University of Canterbury, Department of Mechanical Engineering, Centre for Bio Engineering, Christchurch, New Zealand
    Curr Drug Deliv 4:283-96. 2007
    ..Present a new model-based tight glycaemic control approach using variable insulin and nutrition administration...
  8. pmc Stochastic targeted (STAR) glycemic control: design, safety, and performance
    Alicia Evans
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:102-15. 2012
    ..This research assesses the safety, efficacy, and clinical burden of a STAR TGC controller modulating both insulin and nutrition inputs in virtual and clinical pilot trials...
  9. pmc Interface design and human factors considerations for model-based tight glycemic control in critical care
    Logan Ward
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:125-34. 2012
    ..This research presents an interface design to maximize compliance, minimize real and perceived clinical effort, and minimize error based on simple human factors and end user input...
  10. pmc Data entry errors and design for model-based tight glycemic control in critical care
    Logan Ward
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:135-43. 2012
    ..This study presents the design and optimization of data entry methods to minimize error for a computerized and model-based TGC method prior to pilot clinical trials...
  11. doi request reprint Tight glycemic control in critical care--the leading role of insulin sensitivity and patient variability: a review and model-based analysis
    J Geoffrey Chase
    University of Canterbury, Dept of Mechanical Engineering, Centre for Bio Engineering, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 102:156-71. 2011
    ..Further factors that exacerbate this variability in glycemic outcome are found to include measurement frequency and whether a protocol is blind to carbohydrate administration...
  12. ncbi request reprint Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care
    J Geoffrey Chase
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Med Eng Phys 27:1-11. 2005
    ..The ability to track changing physiological status and account for insulin transport and effect saturation enabled targeted stepwise reduction in glycaemic levels in three test cases...
  13. pmc Pilot study of a model-based approach to blood glucose control in very-low-birthweight neonates
    Aaron J Le Compte
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    BMC Pediatr 12:117. 2012
    ..The efficacy of blood glucose control using a computer metabolic system model to determine insulin infusion rates was assessed in very-low-birth-weight infants...
  14. pmc Organ failure and tight glycemic control in the SPRINT study
    J Geoffrey Chase
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, Private Bag, New Zealand
    Crit Care 14:R154. 2010
    ..The sequential organ failure assessment (SOFA) score is used to evaluate the impact of a successful tight glycemic control (TGC) intervention (SPRINT) on organ failure, morbidity, and thus mortality...
  15. doi request reprint A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients
    Jessica Lin
    Department of Medicine, University of Otago Christchurch, New Zealand
    Comput Methods Programs Biomed 102:192-205. 2011
    ..Finally, the detailed examination and discussion of issues surrounding model-based TGC and existing glucose-insulin models render this article a mini-review of the state of model-based TGC in critical care...
  16. doi request reprint Impact of variation in patient response on model-based control of glycaemia in critically ill patients
    Aaron J Le Compte
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 109:211-9. 2013
    ..It is clear that adaptive, patient-specific, approaches are better able to manage inter- and intra-patient variability than typical, fixed protocols...
  17. ncbi request reprint Targeted glycemic reduction in critical care using closed-loop control
    J Geoffrey Chase
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    Diabetes Technol Ther 7:274-82. 2005
    ....
  18. pmc Design and clinical pilot testing of the model-based dynamic insulin sensitivity and secretion test (DISST)
    Thomas F Lotz
    Centre for Bioengineering, University of Canterbury, and Department of Intensive Medicine, Christchurch Hospital, Christchurch, New Zealand
    J Diabetes Sci Technol 4:1408-23. 2010
    ..This pilot study examines the effect of glucose and insulin dose on the DISST, and tests its repeatability...
  19. pmc Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance
    David Stevenson
    Department of Mechanical Engineering, Centre for Bio Engineering at the University of Canterbury, Christchurch, New Zealand
    Biomed Eng Online 11:28. 2012
    ..This paper presents the method to algorithmically process the pressure waveforms...
  20. ncbi request reprint Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model
    Christopher E Hann
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 77:259-70. 2005
    ..Applications of the model and parameter identification method for automated control of blood glucose and medical decision support are discussed...
  21. pmc Validation of a model-based virtual trials method for tight glycemic control in intensive care
    J Geoffrey Chase
    Dept of Mechanical Engoneering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    Biomed Eng Online 9:84. 2010
    ..This study uses matched cohorts from a TGC clinical trial to validate virtual patients and in-silico virtual trial models and methods...
  22. pmc What makes tight glycemic control tight? The impact of variability and nutrition in two clinical studies
    Fatanah Suhaimi
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 4:284-98. 2010
    ..The goal is to uncover aspects of successful TGC and delineate the impact of differences in cohorts...
  23. ncbi request reprint Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care
    Jessica Lin
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 89:141-52. 2008
    ..The validated stochastic model and methods provide a platform for developing advanced glycemic control methods addressing critical care variability...
  24. doi request reprint Development of a model-based clinical sepsis biomarker for critically ill patients
    Jessica Lin
    University of Otago Christchurch, Department of Medicine, Christchurch, New Zealand
    Comput Methods Programs Biomed 102:149-55. 2011
    ..Examination of both inter- and intra-patient statistical distribution of this biomarker and sepsis score shows potential avenues to improve the positive predictive value...
  25. pmc On the problem of patient-specific endogenous glucose production in neonates on stochastic targeted glycemic control
    Jennifer L Dickson
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 7:913-27. 2013
    ..Stochastic targeting, or STAR, is one such glycemic control framework...
  26. doi request reprint Monte Carlo analysis of a new model-based method for insulin sensitivity testing
    Thomas F Lotz
    Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 89:215-25. 2008
    ..0% (90% CI: 9.1-10.8%)). Correlation to glucose and unit normalised ISI is r=0.98 (90% CI: 0.97-0.98). The proposed protocol is simple, cost effective, repeatable and highly correlated to the gold-standard clamp...
  27. ncbi request reprint Clinical validation of a model-based glycaemic control design approach and comparison to other clinical protocols
    J Geoffrey Chase
    Dept of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Conf Proc IEEE Eng Med Biol Soc 1:59-62. 2006
    ....
  28. ncbi request reprint Quantifying agitation in sedated ICU patients using digital imaging
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 76:131-41. 2004
    ....
  29. pmc Continuous glucose monitors and the burden of tight glycemic control in critical care: can they cure the time cost?
    Matthew Signal
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 4:625-35. 2010
    ..Additionally, regular measurement by CGM may also be able to reduce clinical burden...
  30. ncbi request reprint Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care
    J Geoffrey Chase
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 82:238-47. 2006
    ..Clinically, the results show one possible computational method for managing the larger errors encountered in emerging continuous blood glucose sensors, thus enabling their more effective use in clinical glucose regulation studies...
  31. pmc Nasogastric aspiration as an indicator for feed absorption in model-based glycemic control in neonatal intensive care
    Cameron A Gunn
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 7:717-26. 2013
    ..An analysis has been carried out to investigate the effect of poorly absorbed feeds on glycemic control...
  32. doi request reprint Validation of subject-specific cardiovascular system models from porcine measurements
    James A Revie
    Department of Mechanical Engineering, Centre of Bioengineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 109:197-210. 2013
    ..3% and 4.4%, which are equivalent to the measurement errors of currently used monitoring devices in the ICU (∼5-10%). These results validate the potential for implementing this approach in the intensive care unit...
  33. pmc A spectrum of dynamic insulin sensitivity test protocols
    Paul D Docherty
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 5:1499-508. 2011
    ..The quick dynamic insulin sensitivity test has shown that the DISST SI values are robust to significant assay omissions...
  34. pmc Urinary cystatin C is diagnostic of acute kidney injury and sepsis, and predicts mortality in the intensive care unit
    Maryam Nejat
    Department of Medicine, University of Otago Christchurch, Riccarton Avenue, Christchurch 8140, New Zealand
    Crit Care 14:R85. 2010
    ..To evaluate the utility of urinary cystatin C (uCysC) as a diagnostic marker of acute kidney injury (AKI) and sepsis, and predictor of mortality in critically ill patients...
  35. ncbi request reprint Parameter identification and sedative sensitivity analysis of an agitation-sedation model
    Andrew D Rudge
    Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 83:211-21. 2006
    ..Overall, these results provide additional insight into the system and clinical dynamics of sedation management...
  36. doi request reprint A minimal model of lung mechanics and model-based markers for optimizing ventilator treatment in ARDS patients
    Ashwath Sundaresan
    Center for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 95:166-80. 2009
    ..This minimal model thus provides a clinically useful and relatively simple platform for continuous patient specific monitoring of lung unit recruitment for a patient...
  37. pmc Beat-to-beat estimation of the continuous left and right cardiac elastance from metrics commonly available in clinical settings
    David Stevenson
    Department of Mechanical Engineering, Centre for Bio Engineering at the University of Canterbury, Christchurch, New Zealand
    Biomed Eng Online 11:73. 2012
    ..This paper presents a method for the estimation of a patient specific FTVE, using only metrics that are currently available in a clinical setting...
  38. pmc Glycemic levels in critically ill patients: are normoglycemia and low variability associated with improved outcomes?
    Matthew Signal
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 6:1030-7. 2012
    ..The interpretation of results is important when drawing conclusions about the benefits and risks of IIT. There is the potential for negative results to be falsely negative due to unintended patient crossover or cohort overlap...
  39. pmc Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury
    Azrina Md Ralib
    Christchurch Kidney Research Group, Department of Medicine, University of Otago, Christchurch, New Zealand
    J Am Soc Nephrol 23:322-33. 2012
    ..The ideal method for quantitating biomarkers of urinary AKI depends on the outcome of interest...
  40. ncbi request reprint Derivative weighted active insulin control modelling and clinical trials for ICU patients
    Carmen V Doran
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Med Eng Phys 26:855-66. 2004
    ..Finally, the heavy derivative PD control approach is seen to be able to bring blood glucose levels below the (elevated) basal level, showing the potential for truly tight control...
  41. ncbi request reprint Quantifying agitation in sedated ICU patients using heart rate and blood pressure
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Physiol Meas 25:1037-51. 2004
    ....
  42. ncbi request reprint Minimal haemodynamic system model including ventricular interaction and valve dynamics
    Bram W Smith
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Med Eng Phys 26:131-9. 2004
    ..These results show that the model adequately provides appropriate magnitudes and trends that are in agreement with existing data for a variety of physiologically verified test cases simulating human CVS function...
  43. doi request reprint Subject-specific cardiovascular system model-based identification and diagnosis of septic shock with a minimally invasive data set: animal experiments and proof of concept
    J Geoffrey Chase
    Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
    Physiol Meas 32:65-82. 2011
    ..Overall, these results provide further support for prospective, proof of concept clinical testing with humans...
  44. doi request reprint Blood glucose prediction using stochastic modeling in neonatal intensive care
    Aaron J Le Compte
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    IEEE Trans Biomed Eng 57:509-18. 2010
    ..Adjusting the variance estimator provides a more accurate, cohort-specific stochastic model of S(I) dynamics in the neonate...
  45. pmc Expiratory model-based method to monitor ARDS disease state
    Erwin J van Drunen
    University of Canterbury, 8041, Christchurch, New Zealand
    Biomed Eng Online 12:57. 2013
    ..However, it is hypothesised that expiratory data can be used to determine an alternative metric, offering another means to track patient condition and guide positive end expiratory pressure (PEEP) selection...
  46. pmc Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control
    Christopher G Pretty
    Department of Mechanical Eng, Centre for Bio Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8054, New Zealand
    Ann Intensive Care 2:17. 2012
    ..abstract:..
  47. pmc Physiological relevance and performance of a minimal lung model: an experimental study in healthy and acute respiratory distress syndrome model piglets
    Yeong Shiong Chiew
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    BMC Pulm Med 12:59. 2012
    ..Model-based approaches to guide MV can be patient-specific. A physiological relevant minimal model and its patient-specific performance are tested to see if it meets this objective above...
  48. pmc Model-based optimal PEEP in mechanically ventilated ARDS patients in the intensive care unit
    Ashwath Sundaresan
    Department of Mechanical Engineering, College of Engineering, University of Canterbury, Private Bag 8140, Christchurch, New Zealand
    Biomed Eng Online 10:64. 2011
    ..This paper examines the clinical viability of such models in pilot clinical trials to assist therapy, optimise patient-specific PEEP, assess the disease state and response over time...
  49. pmc Cardiac output estimation using pulmonary mechanics in mechanically ventilated patients
    Ashwath Sundaresan
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Biomed Eng Online 9:80. 2010
    ....
  50. pmc Hypoglycemia detection in critical care using continuous glucose monitors: an in silico proof of concept analysis
    Christopher G Pretty
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    J Diabetes Sci Technol 4:15-24. 2010
    ..Continuous glucose monitors (CGMs) offer frequent measurement and thus the possibility of using them for early detection alarms to prevent hypoglycemia...
  51. pmc Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function
    Zoltan H Endre
    Department of Medicine, Christchurch Kidney Research Group, University of Otago, Christchurch, New Zealand
    Kidney Int 79:1119-30. 2011
    ..68 and 0.78. Beyond 12 h, NGAL (0.71) and KIM-1 (0.66) performed best. Thus, the duration of injury and baseline renal function should be considered in evaluating biomarker performance to diagnose AKI...
  52. pmc Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control
    Alicia Evans
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    Ann Intensive Care 1:38. 2011
    ..abstract:..
  53. doi request reprint High-dose intravenous epoetin does not increase blood pressure in critically ill patients with acute kidney injury
    Azrina M Ralib
    Christchurch Kidney Research Group, Department of Medicine, University of Otago, Christchurch, New Zealand
    Clin Nephrol 79:370-9. 2013
    ..Treatment of renal anemia with erythropoietic stimulating agents sometimes increases blood pressure. It is uncertain whether this is due to direct vasoconstriction and/or increased red blood cell mass...
  54. ncbi request reprint A new model validation tool using kernel regression and density estimation
    Dominic S Lee
    Department of Mathematics and Statistics and Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
    Comput Methods Programs Biomed 80:75-87. 2005
    ..These tools are demonstrated using a biomedical system model for agitation-sedation and sedation management control...
  55. pmc The identification of insulin saturation effects during the dynamic insulin sensitivity test
    Paul D Docherty
    Centre for Bio Engineering, University of Canterbury, Christchurch, New Zealand
    Open Med Inform J 4:141-8. 2010
    ..Accounting for insulin action saturation may aid inter-participant and/or inter-test comparisons of insulin efficiency, and model-based glycaemic regulation...
  56. ncbi request reprint Measuring facial grimacing for quantifying patient agitation in critical care
    Pierrick Becouze
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Comput Methods Programs Biomed 87:138-47. 2007
    ..A consistent measure is obtained that is robust to significant random head movement and compares well against visual observation of different levels of grimacing. The method provides a basis for clinical validation...
  57. pmc Screening for diabetic retinopathy using computer vision and physiological markers
    Christopher E Hann
    University of Canterbury, Centre for Bio Engineering, Department of Mechanical Engineering, Christchurch, New Zealand
    J Diabetes Sci Technol 3:819-34. 2009
    ..Current methods of detecting, screening, and monitoring DR are based on subjective human evaluation, which is also slow and time-consuming. As a result, initiation and progress monitoring of DR is clinically hard...
  58. pmc Model-based prediction of the patient-specific response to adrenaline
    J Geoffrey Chase
    Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
    Open Med Inform J 4:149-63. 2010
    ..They are thus a further justification in support of upcoming human clinical trials to validate this model...
  59. pmc Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice?
    J Geoffrey Chase
    Department of Mechanical Engineering, Centre for Bio Engineering, University of Canterbury, Christchurch, Private Bag 4800, New Zealand
    Ann Intensive Care 1:11. 2011
    ..The overall review clearly shows the concept and significant clinical potential of using computational models in critical care medicine...
  60. pmc Analysis of different model-based approaches for estimating dFRC for real-time application
    Erwin J van Drunen
    University of Canterbury, Christchurch, 8041, New Zealand
    Biomed Eng Online 12:9. 2013
    ..However, simple, non-invasive methods to estimate dFRC do not exist...
  61. pmc Fatal case of Campylobacter lari prosthetic joint infection and bacteremia in an immunocompetent patient
    Anja M Werno
    Department of Microbiology, Canterbury Health Laboratory, University of Canterbury, Christchurch, New Zealand
    J Clin Microbiol 40:1053-5. 2002
    ..lari prosthetic joint infection and bacteremia in an 81-year-old immunocompetent man. The infection was associated with septic shock and fatal outcome. C. lari may cause severe disease, even in an immunocompetent host...
  62. ncbi request reprint Modeling and control of the agitation-sedation cycle for critical care patients
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    Med Eng Phys 26:459-71. 2004
    ..This improved agitation management is achieved via heavy derivative feedback control of sedation administration, which provides an essentially bolus-driven management approach, aligned with recent sedation practices...
  63. doi request reprint Dynamic functional residual capacity can be estimated using a stress-strain approach
    Ashwath Sundaresan
    Department of Mechanical Engineering, College of Engineering, University of Canterbury, Private Bag 8140, Christchurch, New Zealand
    Comput Methods Programs Biomed 101:135-43. 2011
    ..Simple methods to estimate dFRC at a given positive end expiratory pressure (PEEP) level in patients with ARDS/ALI currently does not exist. Current viable methods are time-consuming and relatively invasive...
  64. pmc Complexity of continuous glucose monitoring data in critically ill patients: continuous glucose monitoring devices, sensor locations, and detrended fluctuation analysis methods
    Matthew Signal
    Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
    J Diabetes Sci Technol 7:1492-506. 2013
    ..The aim of this study was to investigate the effects of CGM device type/calibration and CGM sensor location on results from DFA...
  65. pmc The impact of parameter identification methods on drug therapy control in an intensive care unit
    Christopher E Hann
    Centre of Bio Engineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Open Med Inform J 2:92-104. 2008
    ..The integral method remains robust...
  66. ncbi request reprint Automated insulin infusion trials in the intensive care unit
    Carmen V Doran
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Diabetes Technol Ther 6:155-65. 2004
    ..These results highlight the effectiveness of automated infusions for regulating blood glucose rise and excursions, and the potential of this approach for non-hospitalized individuals...
  67. doi request reprint Early intervention with erythropoietin does not affect the outcome of acute kidney injury (the EARLYARF trial)
    Zoltan H Endre
    Christchurch Kidney Research Group, Department of Medicine, University of Otago, Christchurch, New Zealand
    Kidney Int 77:1020-30. 2010
    ..Further, our study showed that a composite of these two biomarkers was insufficient for risk stratification in a patient population with a heterogeneous onset of injury...
  68. pmc A novel mechanical lung model of pulmonary diseases to assist with teaching and training
    J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    BMC Pulm Med 6:21. 2006
    ..An example model is built to simulate a patient under mechanical ventilation with accurate volumes and compliances, while connected directly to a ventilator...
  69. ncbi request reprint Velocity profile method for time varying resistance in minimal cardiovascular system models
    Bram W Smith
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
    Phys Med Biol 48:3375-87. 2003
    ..The proposed velocity profile tracking method can be easily incorporated into existing lumped parameter CVS models, improving their clinical application by increasing their accuracy...
  70. ncbi request reprint In situ analysis of solvents on breath and blood: a selected ion flow tube mass spectrometric study
    Paul F Wilson
    Department of Chemistry, University of Canterbury, Christchurch, New Zealand
    Rapid Commun Mass Spectrom 16:427-32. 2002
    ..The decays of the solvent levels with time were fitted to a two-compartment model with residence times for xylene and mesitylene of 0.37 h and 0.38 h, respectively (compartment one) and 2.5 h and 2.8 h, respectively (compartment two)...
  71. ncbi request reprint A pilot study of the SPRINT protocol for tight glycemic control in critically Ill patients
    Timothy Lonergan
    Department of Mechanical Engineering, University of Canterbury Christchurch, New Zealand
    Diabetes Technol Ther 8:449-62. 2006
    ..1 mmol/L target band. The look-up tables, implemented in a wheel-based format, are used by nurses to determine glycemic control actions based on hourly or 2-hourly blood glucose measurements and nutrition and insulin administration rates...
  72. ncbi request reprint A simple insulin-nutrition protocol for tight glycemic control in critical illness: development and protocol comparison
    Timothy Lonergan
    Department of Mechanical Engineering, University of Canterbury, Dunedin, New Zealand
    Diabetes Technol Ther 8:191-206. 2006
    ..In addition, increased insulin resistance and saturation effects limit the level of control possible using insulin alone. Thus, regulating both insulin and exogenous nutritional inputs is required to control blood glucose...
  73. pmc Is there more to glycaemic control than meets the eye?
    J Geoffrey Chase
    Crit Care 11:160. 2007
    ..Embracing these issues will take the field closer to accepted, repeatable approaches to tight glycaemic control...
  74. ncbi request reprint Point: HOMA--satisfactory for the time being: HOMA: the best bet for the simple determination of insulin sensitivity, until something better comes along
    Kirsten A McAuley
    Diabetes Care 30:2411-3. 2007
  75. ncbi request reprint Simulation of cardiovascular system diseases by including the autonomic nervous system into a minimal model
    Bram W Smith
    Centre for Model based Medical Decision Support MMDS, Aalborg University, Niels Jernes Vej 14, 4 311, DK 9220 Aalborg East, Denmark
    Comput Methods Programs Biomed 86:153-60. 2007
    ..This is the first known example of a minimal CVS model that includes a generic model of ANS activation and is shown to simulate diseases from throughout the CVS...