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H Hutten

Publications and source records attributed to H Hutten.

98 records · Page 6Linked to original sources
PubMedDate not supplied

A multicompartment model for open-loop control of glucose in insulin-dependent diabetics.

This paper describes a model that has been developed for individually adjusted therapy management in insulin-dependent diabetics. The multicompartment model considers all relevant aspects of glucose kinetics and its dependence on insulin. The structure of the model reflects that of the physiological system. Its parameters can be classified into (a) general parameters that are independent of the individual, (b) classifying parameters that are related systematically to the individual, and (c) distinguishing parameters. Classifying parameters allow a very convenient adjustment to relevant features of the individual like sex, age, body weight and length. The model can be employed in open-loop control for the calculation of insulin dosages. It allows the prediction of the system's behaviour as well as the consideration of predictable disturbance variables, e.g. food intake and physical exercise.

Blood Glucose↗
PubMedDate not supplied

Dynamical control of the dialysis process. Part I: Structural considerations and first mathematical approach.

Individual optimization of the dialysis process requires the (open-loop or closed-loop) control of many different variables, e.g. plasma ion concentrations, acid base state, volemic state and hemodynamic quantities. For this purpose a general concept for multiple-input-multiple-output (MIMO) control of the dialysis process is presented. The controlled variables have been differentiated into variables which can be modeled mechanistically (primary controlled variables, PCVs) and (hemodynamic) variables for which no mechanistic model has been developed up to now (secondary controlled variables, SCVs). Accordingly the controller is decomposed into two stages. Stage 1 contains an expert system which links the PCVs to the SCVs and provides the generation of optimal profiles for the PCVs with respect to maximum hemodynamic stability of the patient. Stage 2 is a tracking controller for the PCVs. An algorithm for the multidimensional tracking problem at stage 2 has been developed. It can be used for open-loop and future closed-loop control. The algorithm has been tested for 4 controlled (plasma Na+, plasma K+, plasma volume and ratio between intra- and extracellular volume) and 3 control variables (dialysate Na+, dialysate K+, ultrafiltration rate) up to now. It renders possible the exact tracking of the prescribed trajectories as long as all points are reachable under consideration of all physical and physiological boundary conditions. If they are not, appropriate weighting of the conflicting optimization goals must be applied. An extension towards more than 4 controlled variables is possible on principle. Main advantages of the method are its mathematical simplicity and the applicability of standard optimization subroutines.

Algorithms↗
PubMedDate not supplied

[Measuring intracardiac impedance for determining sympathetic nerve activity in frequency-adjustment electrostimulation--1: Biomedical technical principles].

Modern Pacemaker technology makes it possible to adapt the pacing rate to hemodynamic requirements. The most ambitious approach aims at restoring the physiological closed-loop system by utilizing the information supplied by the Autonomic Nervous System and extracted from myocardial contractile performance. Measurement is accomplished by the impedance method using the stimulating electrode as the measuring electrode. The Ventricular Inotropic Parameter (VIP) has been identified as an ANS-dependent parameter. A special detection algorithm, the Regional Effective Slope Quantity (RQ), with a high ANS sensitivity has been developed specially for the purpose. Rate adaptation is achieved by using an individually-adjustable Inotropic Index (II). The concept has been evaluated in a multicenter study employing a standardized exercise protocol. The clinical results will be presented in Part 2 of this paper.

Algorithms↗