Page 407 - Control Theory in Biomedical Engineering

374 Index

NasoXplorer (Continued) Optim-ENTity SDXL (small diameter)
needs-metrics mapping matrix, 309 LED Naso-View Pharyngoscope,
remarks on the prior comparative art, 309
305–309 Ordinary differential equations (ODEs), 6,
satisfaction benchmarking in clinical 45
needs, 309 Origami methods, 346
target metrics, 309 collapsible origami structure, 346–349,
design verification 347f
bending angle, 297–298 Miura origami structure, 349–351,
dynamic force test with changes in 349–351f
temperature, 300–302 waterbomb tube, 351–355
insertion test, 302–304 Orthotic devices, 180–181
temperature monitoring, 298–300 Orthotic robots, 209–210
device design specifications, 291
estimation of area of narrowest path in the P
nasopharynx region, 291 Paced beats, 107, 109, 110f
estimation of the distance between nasal Pacinian corpuscles (PCs), 208
inlet to the channel, 291 Parallel wrist rehabilitation robot (PWRR),
overall design, 292 236–237
Natural killer (NK) cells, 84–85 Parameter estimation, 141
Natural orifice transluminal endoscopic Parametric vs. nonparametric models, 9–10
surgery (NOTES), 168–169 Partial differential equations (PDEs), 9–10
Negative feedback control, 23, 24f Patient-specific threshold parameters, 71
Negative Poisson’s ratio (NPR) materials, Pattern recognition-based control, EMG,
322–323, 323f, 325, 340 215
Negative pressure jamming, 321–322, 321f PDEs. See Partial differential equations
Neural networks, 7–9, 106–107 (PDEs)
Neuromate robot, 171, 172f Personalized multivariable, multimodule
Nonlinear systems, 4–5 artificial pancreas (PMM-AP) system
Normal sinus rhythm (NSR), 107, 109, adaptive-personalized plasma insulin
109f, 123 concentration estimator, 66–68
NOTES. See Natural orifice transluminal flowchart, 65–66, 66f
endoscopic surgery (NOTES) plasma insulin concentration cognizant
AL-MPC algorithm
adaptive glycemic and plasma insulin
O risk indexes, 70
Observability, 11–12 adaptive-learning model predictive
Oculomotor human system, 31 control formulation, 71–73
ODEs. See Ordinary differential equations feature extraction for manipulating
(ODEs) constraints, 71
Okorocova model, KF, 133 plasma insulin concentration bounds,
Olympus Rhino-Laryngol Fiberscope 70–71
ENF-XP, 309 recursive subspace-based system
ON-OFF control, electromyography, identification, 68–69
215 results, 73–77
Optimal control problem (OCP), 85, Phase change materials, 319–320
96–98 Physiological and data-driven models, 64