Page 350 - Glucose Monitoring Devices
P. 350
Index
‘Note: Page numbers followed by “t” indicate tables and “f” indicate figures.’
A Autoregressive (AR) models, 181
Abbott Freestyle Libre flash glucose monitor, 127 Autoregressive moving average (ARMA) model,
Absolute error, 85 241e242
Absolute R-deviation (ARD), 165e166 Autoregressive moving average with exogenous
Action to Control Cardiovascular Risk in Diabetes input (ARMAX) models, 301e302
(ACCORD) trial, 7e8
Adaptive generalized predictive control, 307 B
American Diabetes Association (ADA), 137 Basal insulin, 124e125
Ames Reflectance Meter, 3e4 Behavioral variability, 58e59
Analytical performance, blood glucose meters Biolinq, 116e117
(BGMs) Biorais sensor, 116
advances, 38e39 Bivariate kernel density model, 82e83
FDA, 36, 36t Blood glucose concentrations (BGC), 293
ISO 15197 standard, 34e35 Blood glucose control
accuracy, 35 Ames Reflectance Meter, 3e4
interference evaluation, 35 copper reagent, 3e4
precision, 35 coulometric strips, 4e5
postmarket analytical performance, 37e38 Dextrostix test strips, 3e4
Artificial neural networks, 294 electrochemical blood glucose test strips, 4e5
Artificial pancreas (AP) systems, 125, 126f, 294 enzyme electrode strip, 3e4
Autocorrelation function (ACF), 245, 248, 249f glucometers, 3e5
Automated closed-loop insulin delivery urine tests, 3e4
adaptive control Blood glucose meters (BGMs)
generalized predictive control, 307 analytical performance
glycemic risk index (GRI), 311e312, 312f advances, 38e39
iterative learning control (ILC), 309e311 FDA, 36, 36t
recursive modeling, 301e303 ISO 15197 standard, 34e35
run-to-run (R2R) control schemes, 307e309 FDA’s guidance, 34
subspace-based state-space system identifica- International and food and drug administration
tion techniques, 303e307 analytical accuracy requirements, 36t
artificial neural networks, 294 premarket approval, 34e36
artificial pancreas (AP) systems, 294 premarket certification process, 34
fuzzy logic control, 294, 297 Blood glucose monitoring systems (BGMSs), 21
insulin action curves, 296 Blood glucose-to-interstitial glucose (BG-to-IG)
insulin infusion, 315 kinetics, 176e177, 178f
model predictive control (MPC) algorithms,
294e295, 297e299 C
multivariable AP (mAP) architecture, 295 Calibration-error model, 224
plasma insulin concentrations, 312e315 Cellular therapies, 327
proportional-integral-derivative (PID) control, Clark Error Grid analysis (CEG), 228
294, 296e297 Closed-loop insulin delivery system, 327. See also
zone model predictive control, 299e301 Automated closed-loop insulin delivery
Automated insulin therapy, 328 Artificial Pancreas (AP) Project, 329e330,
Automation to Simulate Pancreatic Insulin 329f
Response (ASPIRE) study, 330 battery-driven syringe pump, 328
Autoregressive exogenous input (ARX) models, clinical trials, 341te345t
301e302 continuous glucose monitors, 328e329
357