Page 356 - Glucose Monitoring Devices
P. 356
Index 363
constrained optimal control problem, 298 algorithm development, 277e278
discrete-time glucose-insulin dynamic system, Basal IQ, 332
298 clinical studies, 278e282, 279te281t
dynamic model, 297e298 clinical use, 284
mathematical programming problem, 298 commercial devices, 282e283, 283t
mechanism, 298f hybrid infinite impulse response filter, 278
multivariable Glucose, Insulin, and Physiological hypoglycemic threshold, 331
variable simulator (mGIPsim) Kalman filter, 277
closed-loop results, 316e317, 317fe318f, linear projection, 277
320f Medtronic 640G, 331e332
exercise scenario, 316t MiniMed 670G, 332
glycemic ranges and selected statistics, 321t MiniMed predictive low glucose management
meal scenario, 316t (PLGM) system, 278
performance index, 297e298 morning ketosis, 332
principal function, 297e298 numerical logical algorithm, 278
receding-horizon implementation scheme, statistical prediction, 278
297e298 Tandem predictive low glucose management
Moving-average (MA) filtering, 205 (PLGM) system, 278
Multioutput output-error state-space (MOESP), Probability density function (PDF) models, 82e83
305 Proportional integral derivative (PID)
Multiple daily insulin injections (MDI), 137, 276 algorithm, 333
Multivariable artificial pancreas (mAP) systems control, 294, 296e297
architecture, 295 Push-pull phenomenon, 159e160
closed-loop results, 317fe320f
components and modules, 322f R
physiological variables, 296 Random error, 79
Multivariable Glucose, Insulin, and Physiological Rapid-acting insulin analogs, 260
variable simulator (mGIPsim), 315e317 Rate-error grid analysis (R-EGA), 163e164, 164f
R-deviation (RD), 165e166
N Real-time continuous glucose monitoring
Nelder-Mead simplex algorithm, 189 (RT-CGM)
Nephropathy, 55 observational studies, 140e141
Nitric oxide, 118 randomized controlled trials, 141e142
Noninvasive continuous glucose monitoring Recursive least square (RLS) algorithm, 302e303
(CGM) systems, 118e119 Recursive modeling
Normal glucose homeostasis, 135 autoregressive exogenous input (ARX) models,
301e303
P model-based predictive controllers, 301
Partial autocorrelation function (PACF), 245, 248, model parameters, 301
249f recursive least square (RLS) algorithm, 302e303
Percentage of accurate glucose estimates (PAGE), Reduction with an Initial Glargine Intervention
192 (ORIGIN) trial, 13
Phenylboronic acid containing fluorescent dyes, Reflectance glucometers, 3e6
119 Relative error, 83f
Plasma insulin concentration (PIC), 296 Retinopathy, 55
Plasma insulin risk index, 315f Retrofitting algorithm
Point accuracy-error grid analysis (P-EGA), constrained regularized deconvolution
161e162, 162f classical linear time-invariant system frame-
Polymeric redox-active mediator, 113e114 work, 226
Postmarket analytical performance, 37e38 constrained Tikhonov regularization problem,
Predictive low glucose suspend (PLGS) 226e227
technology, 269e270 covariance matrix, 226