Add to ORKGAbstract- This paper presents a framework for the optimal design of experiments for medical sensors calibration. A new software program, G-optimal, is developed to demonstrate the optimal design of experiment. This program has been used to find G-optimal design for amperometric enzyme glucose sensor, silicon capacitive absolute pressure sensors and electrochemical oxygen and carbon dioxide partial pressure sensors. The developed software improves the calibration accuracy, reduces the calibration cost, decreases the time and effort required performing a calibration and provides user friendliness
We have developed a versatile computer program for optimization of ligand binding experiments (e.g.,...
Optimum algorithm for digital assays treats chemical compartments as bits of probabilistic informati...
This paper describes an approach to the design of optimum QRS detectors. We report on detectors incl...
In this study, a procedure for optimal selection of measurement points using the D-optimality criter...
The identification of individual parameters of detailed physiological models of type 1 diabetes can ...
Minimally invasive continuous glucose monitoring (CGM) sensors are wearable medical devices that pro...
This paper tackles the design of a calibration using experimental design techniques. In particular, ...
Abstract:- Series of measurements should be planned carefully in order to reduce the costs and to al...
Intravenous glucose tolerance test (IVGTT) provocations are informative, but complex and laborious, ...
In this paper, the tools provided by the theory of Optimal Experimental Design are applied to a nonl...
The problem with computer model calibration by tuning the parameters associated with computer models...
The obtain optimum production conditions for Glucose Oxidase biosensor using software Qualtek-4 The ...
AbstractBarometric MEMS pressure sensors must be calibrated at several temperatures and pressures. T...
There is a growing need for accurate, wearable electrochemical sensors for use in a large range of i...
The design of sensing systems for the measurement of multiple physical quantities related to a dynam...
We have developed a versatile computer program for optimization of ligand binding experiments (e.g.,...
Optimum algorithm for digital assays treats chemical compartments as bits of probabilistic informati...
This paper describes an approach to the design of optimum QRS detectors. We report on detectors incl...
In this study, a procedure for optimal selection of measurement points using the D-optimality criter...
The identification of individual parameters of detailed physiological models of type 1 diabetes can ...
Minimally invasive continuous glucose monitoring (CGM) sensors are wearable medical devices that pro...
This paper tackles the design of a calibration using experimental design techniques. In particular, ...
Abstract:- Series of measurements should be planned carefully in order to reduce the costs and to al...
Intravenous glucose tolerance test (IVGTT) provocations are informative, but complex and laborious, ...
In this paper, the tools provided by the theory of Optimal Experimental Design are applied to a nonl...
The problem with computer model calibration by tuning the parameters associated with computer models...
The obtain optimum production conditions for Glucose Oxidase biosensor using software Qualtek-4 The ...
AbstractBarometric MEMS pressure sensors must be calibrated at several temperatures and pressures. T...
There is a growing need for accurate, wearable electrochemical sensors for use in a large range of i...
The design of sensing systems for the measurement of multiple physical quantities related to a dynam...
We have developed a versatile computer program for optimization of ligand binding experiments (e.g.,...
Optimum algorithm for digital assays treats chemical compartments as bits of probabilistic informati...
This paper describes an approach to the design of optimum QRS detectors. We report on detectors incl...