DE102019122744A1 - Biomechanical stimulus model - Google Patents

Abstract

The invention relates to devices (100) each with a stimulus-response model MODS pure living being as a network of interacting stimulus-response sub-models Pn, each Pn determining a response Yndes process PROZn for a given stimulus Xn and being parameterized by parameters PARM (Pn), with a reaction-stimulus model MODR-S as a network of interacting reaction-stimulus sub-models P ^ n − 1, where Pn and P ^ n − 1 each describe a physical and / or chemical process PROZn of a living being, where each P ^ n − 1 for a given reaction Ŷno stimulus X̂ndes process PROZnermittelt and in each case parameterized by parameter PARM (P ^ n − 1), with sensors (4) for measuring the stimuli Xn as X̃n, with a comparison means (6) which for the measured variables X̃n by means of Pn each determines reactions Yn (X̃n) for the determined reactions Yn (X̃n) are determined by means of the P ^ n − 1 in each case stimuli X̂n (Yn (X )n)), and the X̃n and the X̂n (Yn (X̃n)) are compared to VE 1n (X̃n, X̂n (Yn (X̃n))) andan alternative comparison means (6), which determines stimuli X̂n (Ỹn) for the measured quantities of Ŷnals Ỹn means P ^ n − 1, for which X̂n (Ỹn) uses Pn to determine reactions Yn (X̂n (,n)), and Ỹn and Yn (X̂n (Ỹn) )) compares to VE 2n (Ỹn, Yn (X̂n (Ỹn))), with an adaptation means (8), which thePARM (P ^ n − 1) on the basis of VE 1n (X̃n, X̂n (Yn (X̃n))) to individualized parameters PARM (P ^ n − 1) * changes, and / or PARM (Pn) to PARM (Pn) * changes and with an alternative adaptation means (8) that the PARM (P ^ n − 1) based on VE 2n (Ỹn, Yn (X̂n (Ỹn))) to PARM (P ^ n − 1) * changes, and / or PARM (Pn) to PARM (Pn) * changes, and an output interface (10) for providing / outputting information about The changes.

Description

The invention relates to devices and methods in particular for adapting a reaction-stimulus model of a living being.

The object of the invention is to determine and improve an estimate of a stimulus-response dynamics of a living being.

The invention results from the features of the independent claims. The dependent claims relate to advantageous developments and refinements. Further features, possible applications and advantages of the invention emerge from the following description and the explanation of exemplary embodiments of the invention which are shown in the figures.

mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind, Sensoren zur Messung der Stimuli X_n an dem Lebewesen als Messgrößen X̃_n , ein Vergleichsmittel, das für die Messgrößen X̂_n mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̃_n) ermittelt, für die ermittelten Reaktionen Y_n(X̃_n) mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils Stimuli X̂_n(Y_n(X̃_n)) ermittelt, und die Messgrößen X̂_n der Stimuli und die ermittelten Stimuli X̂_n(Y_n(X̃_n)) zur Ermittlung eines Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) vergleicht, ein Adaptionsmittel, das die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

ändert, und/oder das die Parameter PARM(P_n) auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern PARM( P_n)* ändert, und eine Ausgabeschnittstelle zur Bereitstellung/Ausgabe der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

zu ${{\displaystyle \widehat{P}}}_n^{-1}*$

individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$

und/oder der individualisierten Parameter PARM(P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n)* zu P_n* individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n* zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}*$

* zu MOD_R-S* individualisierten Modells MOD_R-S.A first aspect of the invention relates to a device having: A first interface for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each describing a physical and / or chemical process PROZ _{n of} the living being, each stimulus-response sub-model P _n describing a response Y _{n of} the process for a given stimulus X _n PROZ _{n is} determined, and the stimulus-response sub-models P _{n are} each parameterized by parameters PARM (P _n ), a second interface for providing a response-stimulus model MOD _{RS of} the living being as a network of a number N of interacting response stimuli -Submodels ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, sensors for measuring the stimuli X _n on the living being as measured variables X̃ _n , a comparison means that determines reactions Y _n (X̃ _n ) for the measured variables X̂ _n by means of the stimulus-response sub-models P _n , for the determined reactions Y _n (X̃ _n ) by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Y _n (X̃ _n )) are determined, and the measured variables Xgrößen _{n of} the stimuli and the determined stimuli X̂ _n (Y _n (X̃ _n )) to determine a comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) compares an adaptation means that the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or that the parameters PARM (P _n ) changes based on the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters PARM (P _n ) *, and an output interface for provision / Output of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

to ${{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or the individualized parameters PARM (P _n ) *, and / or from stimulus-response sub-models P _n that are individualized on the basis of the individualized parameters PARM (P _n ) * to P _n *, and / or one of from the individualized ones Stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of the individualized response-stimulus sub-models based on the ${{\displaystyle \widehat{P}}}_n^{-1}*$

* to MOD _RS * individualized MOD _RS model.

mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind, Sensoren zur Messung der Stimuli Y_n an dem Lebewesen als Messgrößen Ỹ_n, ein Vergleichsmittel, das für die Messgrößen Ỹ_n mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils Stimuli X̂_n(Ỹ_n) ermittelt, für die ermittelten Stimuli X̂_n(Ỹ_n) mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̂_n(Ŷ_n)) ermittelt, und die Messgrößen Ỹ_n der Reaktionen und die ermittelten Reaktionen Y_n(X̂_n(Ỹ_n)) zur Ermittlung eines Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) vergleicht, ein Adaptionsmittel, das die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

ändert, und/oder das die Parameter PARM(P_n) auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern PARM( P_n)* ändert, und eine Ausgabeschnittstelle zur Bereitstellung/Ausgabe der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{zu }{{\displaystyle \widehat{P}}}_n^{-1}*,$

individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1}$

, und/oder der individualisierten Parameter PARM(P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}*$

zu MOD_R-S* individualisierten Modells MOD_R-S.Another aspect of the invention relates to a device having: A first interface for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each describing a physical and / or chemical process PROZ _{n of} the living being, each stimulus-response sub-model P _n describing a response Y _{n of} the process for a given stimulus X _n PROZ _{n is} determined, and the stimulus-reaction sub-models P _{n are} each parameterized by parameters PARM (P _n ), a second interface for providing a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus Sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, sensors for measuring the stimuli Y _n on the living being as measured variables Ỹ _n , a comparison means for the measured variables Ỹ _n by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Ỹ _n ) determined, for the determined stimuli X̂ _n (Ỹ _n ) by means of the stimulus-response submodels P _n, respectively reactions Y _n (X̂ _n (Ŷ _n )) are determined, and the measured variables größen _{n of} the reactions and the determined reactions Y _n (X̂ _n (Ỹ _n )) to determine a comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) compares, an adaptation means that the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or changes the parameters PARM (P _n ) based on the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters PARM (P _n ) *, and an output interface for provision / Output of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*,$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

, and / or the individualized parameters PARM (P _n ) *, and / or based on the individualized parameters PARM (P _n ) * to P _n * individualized stimulus-response sub-models P _n , and / or one of based on the individualized stimulus-response sub-models P _n * to MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}*$

to MOD _RS * individualized model MOD _RS .

an der Stelle von P_n und analog für alle PARM(·), wobei ferner ein Index n + 1 symbolisch für einen zum Index n gehörigen Eintrag verschiedenen Eintrag steht, ohne dabei Anspruch auf mathematische Korrektheit zu erheben, insbesondere wenn für das betrachtete n gilt n=N.The stimulus-response sub-models P _n in particular map a respective stimulus X _n to a respective reaction Y _n by means of the respective process PROZ _n . The respective process PROZ _n here preferably reproduces a neural elementary dynamics, that is to say a dynamics of a process PROZ _n that can preferably be modeled as a transfer function in a nervous system of a living being, in particular a human being. The N interacting stimulus-response sub-models P _n preferably form a so-called MIMO system (MIMO: “multiple-input multiple-output”), that is to say that the MOD _SR model with the sub-models P _{n is} a modeled system with a large number of system inputs X _n and with a large number of system outputs Y _n , in which in particular there are couplings among the individual P _n . The interactions between the P _n are preferably designed parametrically, i.e. PARM (P _n ) accordingly has an influence on PARM (P _{n + 1} ), in particular over long periods of time, i.e. in bandwidths and spectra similar to those of the stimuli X exceed _n. Alternatively, a stimulus X _n preferably generates a respective reaction Y _n and additionally another reaction in, for example, Y _{n + 1} . While the response Y _{n is} an adequate response to the stimulus X _n , the response in, for example, Y _{n + 1 is} an inadequate response. _{The P n} linear transfer functions are also preferred. Alternatively, the P _n are preferably non-linear transfer functions. These statements on neural elementary dynamics and the model structure of MOD _{SR also} apply analogously to MOD _RS and for ${{\displaystyle \widehat{P}}}_n^{-1}$

in the place of P _n and analogously for all PARM (·), with an index n + 1 also symbolically standing for an entry belonging to the index n, without making any claim to mathematical correctness, in particular if the observed n applies n = N.

It is an advantageous effect of the invention that the estimation of a stimulus-response dynamics of a living being is improved.

und/oder deren Parametrisierung PARM(P_n) und/oder $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

eine Norm dahingehend repräsentieren, dass sie für eine Vielzahl derartiger Lebewesen gelten.According to an advantageous embodiment of the invention, a device is provided in which the stimulus-response sub-models P _n and / or the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

and / or their parameterization PARM (P _n ) and / or $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

represent a norm in that they apply to a variety of such living things.

The standard is preferably a structure of the respective sub-models or, furthermore, preferably a general parameter set of the respective parameters PARM (·). This advantageously provides a basic model that can be adapted to the respective individual using the method according to the invention.

auswählbar ist, und/oder Interaktionen der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder die jeweiligen Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

des Modells MOD_R-S aus mehreren möglichen Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1}$

auswählbar sind und/oder die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder eine Interaktion der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

vorgebbar und/oder veränderbar ist, und/oder die Parameter PARM(P_n) aus mehreren möglichen Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auswählbar sind, und/oder die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

vorgebbar und/oder veränderbar sind.According to a further advantageous embodiment of the invention, the device has a man-machine interface by means of which a model MOD _{SR of} the living being can be selected from several possible models as a network of a number N interacting stimulus-response sub-models P _n , and / or interactions of the stimulus-response sub-models P _{n are} changeable, and / or the respective stimulus-response sub-models P _{n of the MOD SR} model can be selected from several possible stimulus-response sub-models P _n and / or the stimulus-response sub-models P _n are changeable, and / or an interaction of the stimulus-response sub-models P _{n is} predeterminable and / or changeable, and / or the parameters PARM (P _n ) can be selected from several possible parameters PARM (P _n ), and / or the parameters PARM (P _n ) can be specified and / or changed, and / or a model MOD _{RS of} the living being as a network of a number N interacting reaction stimuli from several possible models ulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

is selectable, and / or interactions of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or the respective reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

of the MOD _RS model from several possible reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are selectable and / or the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or an interaction of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be predetermined and / or changed, and / or the parameters PARM (P _n ) from several possible parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be selected, and / or the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be specified and / or changed.

The man-machine interface is preferably a touch-sensitive screen.

auswählbar ist, und/oder Interaktionen der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder die jeweiligen Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

des Modells MOD_R-S aus mehreren möglichen Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1}$

auswählbar sind und/oder die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder eine Interaktion der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

vorgebbar und/oder veränderbar ist, und/oder die Parameter PARM(P_n) aus mehreren möglichen Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auswählbar sind, und/oder die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

vorgebbar und/oder veränderbar sind.According to a further advantageous embodiment of the invention, a device is provided in which an electrical or an optical interface is present, by means of which a model MOD _{SR of} the living being can be selected from several possible models as a network of a number N interacting stimulus-response sub-models P _n , and / or interactions of the stimulus-response sub-models P _{n are} changeable, and / or the respective stimulus-response sub-models P _{n of the MOD SR} model can be selected from several possible stimulus-response sub-models P _n and / or the stimulus Reaction sub-models P _{n can be} changed, and / or an interaction of the stimulus-reaction sub-models P _{n can be} specified and / or changed, and / or the parameters PARM (P _n ) can be selected from several possible parameters PARM (P _n ), and / or the parameters PARM (P _n ) can be specified and / or changed, and / or a model MOD _{RS of} the living being as a network of a number from several possible models l N interacting response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

is selectable, and / or interactions of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or the respective reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

of the MOD _RS model from several possible reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are selectable and / or the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or an interaction of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be predetermined and / or changed, and / or the parameters PARM (P _n ) from several possible parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be selected, and / or the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be specified and / or changed.

The electrical or optical interface is preferably a serial interface, further preferably one of Ethernet, USB, WLAN, Thunderbolt, FireWire, (e) SATA.

According to a further advantageous embodiment of the invention, there is a device in which the output interface is connected to an output unit for outputting data via the MOD _SR * model and / or via the MOD _RS * model.

The output unit is preferably one of: virtual reality glasses, screen, haptic output interface, optical output interface, olfactory output interface.

According to a further advantageous embodiment of the invention, a device is provided in which a simulation unit is present, the simulation unit for simulating and / or predicting the time-dependent processes PROZ _n (t) based on predetermined stimuli X _n (t) using the MOD _{SR model} * and / or for simulating and / or predicting the time-dependent processes PROZ _n (t) based on predetermined reactions Y _n (t) using the MOD _RS * model is implemented and set up.

According to a further advantageous embodiment of the invention, an apparatus is provided, in which the processes PROC _n represent a dynamic system, each stimulus-response submodel P _n for a given stimulus X _n a response Y _{n n} of the process PROZ determined with a phase delay .

In particular when the PROZ _{n is} a linear system, the stimulus-response sub-model P _n reacts with a phase delay and a gain to the given stimulus X _n or X _n (t) with a Y _n or Y _n (t), but with the same frequencies. If the PROZ _{n is} a non-linear system, the stimulus-response sub-model P _n reacts with a phase delay and a gain to the given stimulus X _n or X _n (t) with a Y _n or Y _n (t), where also X _n (t) and the associated Y _n (t) generally have different frequencies.

• - Bereitstellen eines Stimulus-Reaktions-Modells MOD_S-R eines Lebewesens als Netzwerk einer Anzahl N interagierender Stimulus-Reaktions-Submodelle P_n mit n = 1,2,...,N und N≥2, wobei die Stimulus-Reaktions-Submodelle P_n jeweils einen physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Stimulus-Reaktions-Submodell P_n für einen gegebenen Stimulus X_n eine Reaktion Y_n des Prozesses PROZ_n ermittelt, und wobei die Stimulus-Reaktions-Submodelle P_n jeweils durch Parameter PARM(P_n) parametrisiert sind,
• - Bereitstellen eines Reaktions-Stimulus-Modells MOD_R-S des Lebewesens als Netzwerk einer Anzahl N interagierender Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  parametrisiert sind,
• - Messen der Stimuli X_n an dem Lebewesen als Messgrößen X̃_n,
• - Ermitteln für die Messgrößen X̃_n mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̃_n), für die ermittelten Reaktionen Y_n(X̃_n) mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils Stimuli X̂_n(Y_n(X̃_n)), und
• - Vergleichen der Messgrößen X̃_n der Stimuli mit den ermittelten Stimuli X̂_n(Y_n(X̃_n)) zur Ermittlung eines Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))),
• - Ändern der Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder Ändern der Parameter PARM(P_n) auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern PARM(P_n)*, und
• - Ausgeben der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{ zu }{{\displaystyle \widehat{P}}}_n^{-1}*,$
  
  individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  , und/oder der individualisierten Parameter PARM(P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}*$
  
  zu MOD_R-S* individualisierten Modells MOD_R-S.

Another aspect of the invention relates to a method comprising the steps:

• - Providing a stimulus-response model MOD _{SR of} a living being as a network of a number N interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each have a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n calculated in the process PROZ _n, and wherein the stimulus-response submodels P _n in each case are parameterized by parameter PARM (P _n ),
• - Providing a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  are parameterized,
• - measuring the stimuli X _n on the living being as measured variables X̃ _n ,
• - Determine reactions Y _n (X̃ _n ) for the measured variables X̃ _n by means of the stimulus-response sub-models P _n , and for the determined reactions Y _n (X̃ _n ) by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  respectively stimuli X̂ _n (Y _n (X̃ _n )), and
• - comparison of the measured variables X̃ _{n of} the stimuli with the determined stimuli X̂ _n (Y _n (X̃ _n )) to determine a comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))),
• - Changing the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  based on the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters PARM (P _n ) *, and
• - Output of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*,$
  
  individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  , and / or the individualized parameters PARM (P _n ) *, and / or based on the individualized parameters PARM (P _n ) * to P _n * individualized stimulus-response sub-models P _n , and / or one of based on the individualized stimulus-response sub-models P _n * to MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}*$
  
  to MOD _RS * individualized model MOD _RS .

• - Bereitstellen eines Stimulus-Reaktions-Modells MOD_S-R eines Lebewesens als Netzwerk einer Anzahl N interagierender Stimulus-Reaktions-Submodelle P_n mit n = 1,2,...,N und N≥2, wobei die Stimulus-Reaktions-Submodelle P_n jeweils einen physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Stimulus-Reaktions-Submodell P_n für einen gegebenen Stimulus X_n eine Reaktion Y_n des Prozesses PROZ_n ermittelt, und wobei die Stimulus-Reaktions-Submodelle P_n jeweils durch Parameter PARM(P_n) parametrisiert sind,
• - Bereitstellen eines Reaktions-Stimulus-Modells MOD_R-S des Lebewesens als Netzwerk einer Anzahl N interagierender Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  parametrisiert sind,
• - Messen der Stimuli Y_n an dem Lebewesen als Messgrößen Ỹ_n,
• - Ermitteln für die Messgrößen Ỹ_n mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils Stimuli X̂_n(Ỹ_n),
• - Ermitteln für die ermittelten Stimuli X̂_n(Ỹ_n) mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̂_n(Ỹ_n)), und
• - Vergleichen der Messgrößen Ỹ_n der Reaktionen mit den ermittelten Reaktionen Y_n(X̂_n(Ỹ_n) zur Ermittlung eines Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))),
• - Ändern der Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder Ändern der Parameter PARM(P_n) auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n,Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern PARM(P_n)*, und
• - Ausgeben er individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{ zu }{{\displaystyle \widehat{P}}}_n^{-1}*$
  
  individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$
  
  und/oder der individualisierten Parameter PARM(P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  * zu MOD_R-S* individualisierten Modells MOD_R-S.

Another aspect of the invention relates to a method comprising the steps:

• Providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each have a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n of the process PROZ determined _n, and wherein the stimulus-response submodels P _n are each parameterized by parameter PARM (P _n ),
• - Providing a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  are parameterized,
• - measuring the stimuli Y _n on the living being as measured variables Ỹ _n ,
• - Determination for the measured variables Ỹ _n by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each stimuli X̂ _n (Ỹ _n ),
• - Determine for the determined stimuli X̂ _n (Ỹ _n ) by means of the stimulus-response sub-models P _n each reactions Y _n (X̂ _n (Ỹ _n )), and
• - Compare the measured variables Ỹ _{n of} the reactions with the determined reactions Y _n (X̂ _n (Ỹ _n ) to determine a comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))),
• - Changing the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  based on the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters PARM (P _n ) *, and
• - Output of individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$
  
  individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$
  
  and / or the individualized parameters PARM (P _n ) *, and / or from stimulus-response sub-models P _n that are individualized on the basis of the individualized parameters PARM (P _n ) * to P _n *, and / or one of from the individualized ones Stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of the individualized response-stimulus sub-models based on the ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  * to MOD _RS * individualized MOD _RS model.

Further advantages, features and details emerge from the following description in which at least one exemplary embodiment is described in detail - possibly with reference to the drawing. Identical, similar and / or functionally identical parts are provided with the same reference symbols.

• 1 das Konzept von Stimulus-Reaktions-Modellen und Reaktions-Stimulus Modellen zur Erläuterung der Erfindung,
• 2 das Konzept von Stimulus-Reaktions-Modellen und Reaktions-Stimulus Modellen mit ihren jeweiligen Submodellen zur Erläuterung der Erfindung,
• 3 eine Vorrichtung gemäß einem Ausführungsbeispiel der Erfindung,
• 4 eine Vorrichtung gemäß einem weiteren Ausführungsbeispiel der Erfindung,
• 5 ein Verfahren gemäß einem weiteren Ausführungsbeispiel der Erfindung, und
• 6 ein Verfahren gemäß einem weiteren Ausführungsbeispiel der Erfindung, und

Show it:

• 1 the concept of stimulus-response models and reaction-stimulus models to explain the invention,
• 2 the concept of stimulus-response models and reaction-stimulus models with their respective sub-models to explain the invention,
• 3 a device according to an embodiment of the invention,
• 4th a device according to a further embodiment of the invention,
• 5 a method according to a further embodiment of the invention, and
• 6th a method according to a further embodiment of the invention, and

mit n = 1,2,...,N und N≥2. Jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

ermittelt für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n, wobei in diesem Fall die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind. Ferner ist in einer ersten Alternative eine Mensch-Maschine Schnittstelle 12 vorhanden oder in einer zweiten Alternative eine elektrische oder eine optische Schnittstelle 14, wobei durch die jeweilige Schnittstelle aus mehreren möglichen Modellen ein Modell MOD_S-R des Lebewesens als Netzwerk einer Anzahl N interagierender Stimulus-Reaktions-Submodelle P_n auswählbar ist, und/oder Interaktionen der Stimulus-Reaktions-Submodelle P_n veränderbar sind, und/oder die jeweiligen Stimulus-Reaktions-Submodelle P_n des Modells MOD_S-R aus mehreren möglichen Stimulus-Reaktions-Submodellen P_n auswählbar sind und/oder die Stimulus-Reaktions-Submodelle P_n veränderbar sind, und/oder eine Interaktion der Stimulus-Reaktions-Submodelle P_n vorgebbar und/oder veränderbar ist, und/oder die Parameter PARM(P_n) aus mehreren möglichen Parametern PARM(P_n) auswählbar sind, und/oder die Parameter PARM(P_n) vorgebbar und/oder veränderbar sind, und/oder aus mehreren möglichen Modellen ein Modell MOD_R-S des Lebewesens als Netzwerk einer Anzahl N interagierender Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

auswählbar ist, und/oder Interaktionen der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder die jeweiligen Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

des Modells MOD_R-S aus mehreren möglichen Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1}$

auswählbar sind und/oder die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

veränderbar sind, und/oder eine Interaktion der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

vorgebbar und/oder veränderbar ist, und/oder die Parameter PARM( P_n) aus mehreren möglichen Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auswählbar sind, und/oder die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

vorgebbar und/oder veränderbar sind. Ferner ist eine Simulationseinheit (18) vorhanden, wobei die Simulationseinheit (18) zur Simulation und/ oder Prädiktion der zeitabhängigen Prozesse PROZ_n(t) basierend auf vorgegebenen Stimuli X_n(t) mittels des Modells MOD_S-R* und/oder zur Simulation und/oder Prädiktion der zeitabhängigen Prozesse PROZ_n(t) basierend auf vorgegebenen Reaktionen Y_n(t) mittels des Modells MOD_R-S* ausgeführt und eingerichtet ist. Die Prozesse PROZ_n sind ferner zeitabhängig als ein dynamisches System ausgebildet, wobei jedes Stimulus-Reaktions-Submodell P_n für einen gegebenen Stimulus X_n eine Reaktion Y_n des Prozesses PROZ_n mit einem Phasenverzug ermittelt. 1 shows a section of a device 100 to better understand the following 3 to 4th . The device 100 has a first interface 1 for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2. Each stimulus-response sub-model P _n determines a response Ỹ _n for a given stimulus X _n , and the stimulus-response sub-models P _n are each parameterized by parameters PARM (P _n ). A second interface 2 serves to provide a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2. Any response-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

determines a stimulus X̂ _n for a given reaction Ŷ _n , in which case the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized. Furthermore, in a first alternative there is a man-machine interface 12 present or in a second alternative an electrical or an optical interface 14th _{, whereby a model MOD SR of} the living being as a network of a number N interacting stimulus-response sub-models P _{n can be selected} through the respective interface from several possible models, and / or interactions of the stimulus-response sub-models P _{n can be} changed, and / or the respective stimulus-response sub-models P _{n of the MOD SR} model can be selected from a plurality of possible stimulus-response sub-models P _n and / or the stimulus-response sub-models P _{n can be} changed, and / or an interaction of the stimulus-response sub-models P _{n can be} specified and / or changed, and / or the parameters PARM (P _n ) can be selected from several possible parameters PARM (P _n ), and / or the parameters PARM (P _n ) can be specified and / or changed, and / or or from several possible models a model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

is selectable, and / or interactions of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or the respective reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

of the MOD _RS model from several possible reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are selectable and / or the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or an interaction of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be predetermined and / or changed, and / or the parameters PARM (P _n ) from several possible parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be selected, and / or the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be specified and / or changed. Furthermore, a simulation unit ( 18th ) present, whereby the simulation unit ( 18th ) to simulate and / or predict the time-dependent processes PROZ _n (t) based on predetermined stimuli X _n (t) using the model MOD _SR * and / or to simulate and / or predict the time-dependent processes PROZ _n (t) based on predetermined ones Reactions Y _n (t) is carried out and set up _{using the MOD RS * model.} The processes PROZ _n are further formed as a function of time is a dynamic system, each stimulus-response submodel P _n for a given stimulus X _n Y _n, a reaction of the process PROZ _n with a phase delay determined.

mit n = 1,2,...,N und N≥2 ist, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben. Jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

ermittelt für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind. 2 shows the MOD _SR and MOD _{RS models} 1 more detailed. MOD _{SR is} the stimulus-response model of a living being, which is a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response -Submodels P _n each describe a physical and / or chemical process PROZ _{n of} the living being. Each stimulus-response sub-model P _n determines a response Y _{n of} the process PROZ _n for a given stimulus X _n , the stimulus-response sub-models P _n each being parameterized by parameters PARM (P _n ). Furthermore, MOD _{RS is} the reaction-stimulus model of the living being, which is a network of N number of interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being. Any response-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

determines a stimulus X̂ _{n of} the process PROZ _n for a given reaction Ŷ _n , and wherein the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized.

mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind, Sensoren 4 zur Messung der Stimuli X_n an dem Lebewesen als Messgrößen X̃_n, ein Vergleichsmittel 6, das für die Messgrößen X̃_n mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̃_n) ermittelt, für die ermittelten Reaktionen Y_n(X̃_n) mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils Stimuli X̂_n(Y_n(X̃_n)) ermittelt, und die Messgrößen X̂_n der Stimuli und die ermittelten Stimuli X̂_n(Y_n(X̂_n)) zur Ermittlung eines Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) vergleicht, ferner ein Adaptionsmittel 8, das die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

ändert, und/oder das die Parameter PARM(P_n) auf Basis des Vergleichsergebnisses VE1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern PARM(P_n)* ändert, und eine Ausgabeschnittstelle 10 zur Bereitstellung/Ausgabe der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

zu ${{\displaystyle \widehat{P}}}_n^{-1}$

* individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$

und/oder der individualisierten Parameter PARM(P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

* zu MOD_R-S* individualisierten Modells MOD_R-S. Ferner ist die Ausgabeschnittstelle 10 mit einer Ausgabeeinheit 16 zur Ausgabe von Daten über das Modell MOD_S-R* und/oder über das Modell MOD_R-S* verbunden. 3 shows a device 100 , having a first interface 1 for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each have a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n of the process PROZ determined _n, and wherein the stimulus-response submodels P _n are each parameterized by parameter PARM (P _n ), a second interface 2 for providing a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, sensors 4th for measuring the stimuli X _n on the living being as measured variables X̃ _n , a comparison means 6th That for the measurement parameters X _n by means of the stimulus-response submodels P _n respectively reactions Y _n (X _n) determined for the determined responses Y _n (X _n) by means of the reaction stimulus submodels ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Y _n (X̃ _n )) are determined, and the measured variables Xgrößen _{n of} the stimuli and the determined stimuli X̂ _n (Y _n (X̂ _n )) to determine a comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) compares, furthermore an adaptation means 8th that the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or that the parameters PARM (P _n ) changes based on the comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters PARM (P _n ) *, and an output interface 10 for the provision / output of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

to ${{\displaystyle \widehat{P}}}_n^{-1}$

* individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or the individualized parameters PARM (P _n ) *, and / or from stimulus-response sub-models P _n that are individualized on the basis of the individualized parameters PARM (P _n ) * to P _n *, and / or one of from the individualized ones Stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of the individualized response-stimulus sub-models based on the ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model. Furthermore, the output interface 10 with an output unit 16 to output data via the MOD _SR * model and / or via the MOD _RS * model.

mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$

für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

parametrisiert sind, Sensoren 4 zur Messung der Stimuli Y_n an dem Lebewesen als Messgrößen Ỹ_n, ein Vergleichsmittel 6, das für die Messgrößen Ỹ_n mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

jeweils Stimuli X̂_n(Ỹ_n) ermittelt, für die ermittelten Stimuli X̂_n(Ỹ_n) mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̂_n(Ỹ_n) ermittelt, und die Messgrößen Ỹ_n der Reaktionen und die ermittelten Reaktionen Y_n(X̂_n(Ỹ_n) zur Ermittlung eines Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) vergleicht, ein Adaptionsmittel 8, das die Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

ändert, und/oder das die Parameter PARM( P_n) auf Basis des Vergleichsergebnisses VE2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern PARM(P_n)* ändert, und eine Ausgabeschnittstelle 10 zur Bereitstellung/Ausgabe der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

und/oder von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{ zu }{{\displaystyle \widehat{P}}}_n^{-1}*$

individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$

und/oder der individualisierten Parameter PARM( P_n)*, und/oder von auf Basis der individualisierten Parameter PARM(P_n )* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$

* zu MOD_R-S* individualisierten Modells MOD_R-S. Ferner ist die Ausgabeschnittstelle 10 mit einer Ausgabeeinheit 16 zur Ausgabe von Daten über das Modell MOD_S-R* und/oder über das Modell MOD_R-S* verbunden. 4th shows a device 100 , comprising: a first interface 1 for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each have a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n of the process PROZ determined _n, and wherein the stimulus-response submodels P _n are each parameterized by parameter PARM (P _n ), a second interface 2 for providing a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, sensors 4th for measuring the stimuli Y _n on the living being as measured variables Ỹ _n , a comparison means 6th , that for the _{measurands Ỹ n} by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Ỹ _n ) determined, for the determined stimuli X̂ _n (Ỹ _n ) by means of the stimulus-response sub-models P _n, respectively reactions Y _n (X̂ _n (Ỹ _n ) determined, and the measured variables Mess _{n of} the reactions and the determined reactions Y _n (X̂ _n (Ỹ _n ) to determine a comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) compares, an adaptation means 8th that the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or that the parameters PARM (P _n ) on the basis of the comparison result VE2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) changes to individualized parameters PARM (P _n ) *, and an output interface 10 for the provision / output of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or the individualized parameters PARM (P _n ) *, and / or from stimulus-response sub-models P _n that are individualized on the basis of the individualized parameters PARM (P _n ) * to P _n *, and / or one of from the individualized ones Stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of the individualized response-stimulus sub-models based on the ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model. Furthermore, the output interface 10 with an output unit 16 for outputting data via the MOD _SR * model and / or connected via the MOD _RS * model.

• - Bereitstellen S1 eines Stimulus-Reaktions-Modells MOD_S-R eines Lebewesens als Netzwerk einer Anzahl N interagierender Stimulus-Reaktions-Submodelle P_n mit n = 1,2,...,N und N≥2, wobei die Stimulus-Reaktions-Submodelle P_n jeweils einen physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Stimulus-Reaktions-Submodell P_n für einen gegebenen Stimulus X_n eine Reaktion Y_n des Prozesses PROZ_n ermittelt, und wobei die Stimulus-Reaktions-Submodelle P_n jeweils durch Parameter PARM(P_n) parametrisiert sind,
• - Bereitstellen S2 eines Reaktions-Stimulus-Modells MOD_R-S des Lebewesens als Netzwerk einer Anzahl N interagierender Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  parametrisiert sind,
• - Messen S3 der Stimuli X_n an dem Lebewesen als Messgrößen X̃_n,
• - Ermitteln S4 für die Messgrößen X̃_n mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̃_n),
• - Ermitteln S5 für die ermittelten Reaktionen Y_n(X̃_n) mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils Stimuli X̂_n(Y_n(X̃_n)),
• - Vergleichen S6 der Messgrößen X̃_n der Stimuli mit den ermittelten Stimuli X̂_n(Y_n(X̃_n)) zur Ermittlung eines Vergleichsergebnisses VE1_n(X̃_n, X̂_n(Y_n(X̃_n))),
• - Ändern S7 der Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  auf Basis des Vergleichsergebnisses VE 1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder Ändern der Parameter PARM (P_n) auf Basis des Vergleichsergebnisses VE 1_n(X̃_n,X̂_n(Y_n(X̃_n))) zu individualisierten Parametern PARM (P_n)*, und
• - Ausgeben S8
  • • der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
    
    und/oder
  • • von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{ zu }{{\displaystyle \widehat{P}}}_n^{-1}*$
    
    individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$
    
    und/oder
  • • der individualisierten Parameter PARM (P_n)*, und/oder
  • • von auf Basis der individualisierten Parameter PARM (P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder
  • • eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n* zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder
  • • eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}*$
    
    zu MOD_R-S* individualisierten Modells MOD_R-S.
  6 zeigt ein Verfahren, aufweisend die Schritte:
• - Bereitstellen S1 eines Stimulus-Reaktions-Modells MOD_S-R eines Lebewesens als Netzwerk einer Anzahl N interagierender Stimulus-Reaktions-Submodelle P_n mit n = 1,2,...,N und N≥2, wobei die Stimulus-Reaktions-Submodelle P_n jeweils einen physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Stimulus-Reaktions-Submodell P_n für einen gegebenen Stimulus X_n eine Reaktion Y_n des Prozesses PROZ_n ermittelt, und wobei die Stimulus-Reaktions-Submodelle P_n jeweils durch Parameter PARM (P_n) parametrisiert sind,
• - Bereitstellen S2 eines Reaktions-Stimulus-Modells MOD_R-S des Lebewesens als Netzwerk einer Anzahl N interagierender Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  mit n = 1,2,...,N und N≥2, wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils den physikalischen und/oder chemischen Prozess PROZ_n des Lebewesens beschreiben, wobei jedes Reaktions-Stimulus-Submodell ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  für eine gegebene Reaktion Ŷ_n einen Stimulus X̂_n des Prozesses PROZ_n ermittelt, und wobei die Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils durch Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  parametrisiert sind,
• - Messen S3 der Stimuli Y_n an dem Lebewesen als Messgrößen Ỹ_n,
• - Ermitteln S4 für die Messgrößen Ỹ_n mittels der Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  jeweils Stimuli X̂_n(Ỹ_n),
• - Ermitteln S5 für die ermittelten Stimuli X̂_n(Ỹ_n)mittels der Stimulus-Reaktions-Submodelle P_n jeweils Reaktionen Y_n(X̂_n(Ỹ_n)), und
• - Vergleichen S6 der Messgrößen Ỹ_n der Reaktionen und die ermittelten Reaktionen Y_n(X̂_n(Ỹ_n))zur Ermittlung eines Vergleichsergebnisses VE 2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))),
• - Ändern (S7) der Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  auf Basis des Vergleichsergebnisses VE 2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  und/oder Ändern der Parameter PARM (P_n) auf Basis des Vergleichsergebnisses VE 2_n(Ỹ_n, Y_n(X̂_n(Ỹ_n))) zu individualisierten Parametern PARM (P_n)*, und
• - Ausgeben S8
  • • der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
    
    und/oder
  • • von auf Basis der individualisierten Parameter $\text{PARM }\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{ zu }{{\displaystyle \widehat{P}}}_n^{-1}*$
    
    individualisierten Reaktions-Stimulus-Submodellen ${{\displaystyle \widehat{P}}}_n^{-1},$
    
    und/oder
  • • der individualisierten Parameter PARM (P_n)*, und/oder
  • • von auf Basis der individualisierten Parameter PARM (P_n)* zu P_n * individualisierten Stimulus-Reaktions-Submodellen P_n, und/oder
  • • eines von auf Basis der individualisierten Stimulus-Reaktions-Submodelle P_n * zu MOD_S-R* individualisierten Modells MOD_S-R, und/oder
  • • eines von auf Basis der individualisierten Reaktions-Stimulus-Submodelle ${{\displaystyle \widehat{P}}}_n^{-1}$
    
    * zu MOD_R-S* individualisierten Modells MOD_R-S.

5 shows a method comprising the steps:

• - Provide S1 of a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n calculated in the process PROZ _n, and wherein the stimulus-response submodels P _n in each case by Parameters PARM (P _n ) are parameterized,
• - Provide S2 a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  are parameterized,
• - Measure up S3 the stimuli X _n on the living being as measured variables X̃ _n ,
• - Determine S4 for the measured variables X̃ _n by means of the stimulus-response sub-models P _n , reactions Y _n (X̃ _n ),
• - Determine S5 for the determined reactions Y _n (X̃ _n ) by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each stimuli X̂ _n (Y _n (X̃ _n )),
• - To compare S6 of the measured variables X̃ _{n of} the stimuli with the determined stimuli X̂ _n (Y _n (X̃ _n )) to determine a comparison result VE1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))),
• - To change S7 the parameter $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  based on the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters PARM (P _n ) *, and
• - Output S8
  • • the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
    
    and or
  • • of based on the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$
    
    individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$
    
    and or
  • • the individualized parameters PARM (P _n ) *, and / or
  • • of stimulus-response sub-models P _n , and / or individualized on the basis of the individualized parameters PARM (P _n ) * for P _{n *}
  • • one of the individualized on stimulus-response submodels P _n * base to _SR MOD * MOD individualized model _SR, and / or
  • • one of based on the individualized reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}*$
    
    to MOD _RS * individualized model MOD _RS .
  6th shows a method comprising the steps:
• - Provide S1 of a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n calculated in the process PROZ _n, and wherein the stimulus-response submodels P _n in each case by Parameters PARM (P _n ) are parameterized,
• - Provide S2 a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  are parameterized,
• - Measure up S3 the stimuli Y _n on the living being as measured variables Ỹ _n ,
• - Determine S4 for the measured variables Ỹ _n using the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
  
  each stimuli X̂ _n (Ỹ _n ),
• - Determine S5 for the determined stimuli X̂ _n (Ỹ _n ) by means of the stimulus-response sub-models P _n , reactions Y _n (X̂ _n (Ỹ _n )), and
• - To compare S6 the measured variables Ỹ _{n of} the reactions and the determined reactions Y _n (X̂ _n (Ỹ _n )) to determine a comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))),
• - To change ( S7 ) the parameter $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$
  
  based on the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
  
  and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters PARM (P _n ) *, and
• - Output S8
  • • the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$
    
    and or
  • • of based on the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$
    
    individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$
    
    and or
  • • the individualized parameters PARM (P _n ) *, and / or
  • • of stimulus-response sub-models P _n , and / or individualized on the basis of the individualized parameters PARM (P _n ) * for P _{n *}
  • • one of the individualized on stimulus-response submodels P _n * base to _SR MOD * MOD individualized model _SR, and / or
  • • one of based on the individualized reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$
    
    * to MOD _RS * individualized MOD _RS model.

Although the invention has been illustrated and explained in more detail by preferred exemplary embodiments, the invention is not restricted by the disclosed examples and other variations can be derived therefrom by the person skilled in the art without departing from the scope of protection of the invention. It is therefore clear that there is a multitude of possible variations. It is also clear that embodiments cited by way of example really only represent examples that are not to be interpreted in any way as a limitation, for example, of the scope of protection, the possible applications or the configuration of the invention. Rather, the preceding description and the description of the figures enable the person skilled in the art to specifically implement the exemplary embodiments, whereby the person skilled in the art, with knowledge of the disclosed inventive concept, can make various changes, for example with regard to the function or the arrangement of individual elements mentioned in an exemplary embodiment, without the To leave the scope of protection that is defined by the claims and their legal equivalents, such as further explanations in the description.

List of reference symbols

1

first interface

2

second interface

4th

Sensors

6th

Comparison means

8th

Adaptation means

10

Output interface

12

Human-machine interface

14th

electrical or an optical interface

16

Output unit

18th

Simulation unit

100

contraption

S1

Provide

S2

Provide

S3

measure up

S4

Determine

S5

Determine

S6

to compare

S7

To change

S8

Output

Claims (10)

Device (100), comprising: a first interface (1) for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each describing a physical and / or chemical process PROZ _{n of} the living being, each stimulus-response sub-model P _n describing a response Y _{n of} the process for a given stimulus X _n PROZ _{n is} determined, and the stimulus-response sub-models P _{n are} each parameterized by parameters PARM (P _n ), - a second interface (2) for providing a response-stimulus model MOD _{RS of} the living being as a network of a number N interacting Response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, - sensors (4) for measuring the stimuli X _n on the living being as measured variables X̃ _n , - a comparison means (6), which • for the measured variables X _n by means of the stimulus-response sub-models P _n, each reactions Y _n X̃ _n ) determined • for the determined reactions Y _n (X̃ _n ) by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Y _n (X̃ _n )) determined, and • the measured variables X̃ _{n of} the stimuli and the determined stimuli X̂ _n (Y _n (X̃ _n )) to determine a Comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) compares, - an adaptation means (8) that the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or the parameter PARM (P _n ) on the basis of the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) changes to individualized parameters PARM (P _n ) *, and - an output interface (10) for the provision / output • of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or • on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or • the individualized parameters PARM (P _n ) *, and / or • stimulus-response sub-models P _n individualized on the basis of the individualized parameters PARM (P _n ) * for P _n *, and / or • one of to Basis of the individualized stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model. Device (100), comprising: a first interface (1) for providing a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2, the stimulus-response sub-models P _n each describing a physical and / or chemical process PROZ _{n of} the living being, each stimulus-response sub-model P _n describing a response Y _{n of} the process for a given stimulus X _n PROZ _{n is} determined, and the stimulus-response sub-models P _{n are} each parameterized by parameters PARM (P _n ), - a second interface (2) for providing a response-stimulus model MOD _{RS of} the living being as a network of a number N interacting Response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, - sensors (4) for measuring the stimuli Y _n on the living being as measured variables Ỹ _n , - a comparison means (6) which • for the measured variables Ỹ _n by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

in each case stimuli X̂ _n (Ỹ _n ) determined, • for the determined stimuli X̂ _n (mittels _n ) by means of the stimulus-response sub-models P _n, respectively reactions Y _n (X̂ _n (Ỹ _n )) determined, and • the measured variables Ỹ _n the reactions and the determined reactions Y _n (X̂ _n (Ỹ _n )) to determine a comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) compares, - an adaptation means (8) which the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*$

changes, and / or changes the parameters PARM (P _n ) on the basis of the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters PARM (P _n ) *, and an output interface (10) for the provision / output • of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or • on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or • the individualized parameters PARM (P _n ) *, and / or • stimulus-response sub-models P _n individualized on the basis of the individualized parameters PARM (P _n ) * for P _n *, and / or • one of to Basis of the individualized stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model. Device (100) according to one of the preceding claims, in which the stimulus-response sub-models P _n and / or the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

and / or their parameterization PARM (P _n ) and / or PARM $\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

represent a norm in that they apply to a variety of such living things. Device (100) according to one of the preceding claims, in which a man-machine interface (12) is present, by means of which: - from several possible models, a model MOD _{SR of} the living being as a network of a number N of interacting stimulus-response sub-models P _n can be selected, and / or - interactions of the stimulus-response sub-models P _{n can be} changed, and / or - the respective stimulus-response sub-models P _{n of the MOD SR} model can be selected from a plurality of possible stimulus-response sub-models P _n and / or - the stimulus-response sub-models P _{n can be} changed, and / or - an interaction of the stimulus-response -Submodels P _{n can be} specified and / or changed, and / or - the parameters PARM (P _n ) can be selected from several possible parameters PARM (P _n ), and / or - the parameters PARM (P _n ) can be specified and / or changed are, and / or a model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models from several possible models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be selected, and / or interactions of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or - the respective reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

of the MOD _RS model from several possible reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be selected and / or - the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or - an interaction of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be predetermined and / or changed, and / or the parameters PARM (P _n ) from several possible parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be selected, and / or - the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be specified and / or changed. Device (100) according to one of the preceding claims, in which there is an electrical or an optical interface (14) by means of which: - from several possible models, a model MOD _{SR of} the living being as a network of a number N interacting stimulus-response sub-models P _{n is} selectable, and / or - interactions of the stimulus-response sub-models P _{n can be} changed, and / or - the respective stimulus-response sub-models P _{n of the MOD SR} model can be selected from several possible stimulus-response sub-models P _n and / or - the stimulus-response sub-models P _{n can be} changed, and / or - an interaction of the stimulus-response sub-models P _{n can be} specified and / or changed, and / or - the parameters PARM (P _n ) from several possible parameters PARM (P _n ) can be selected, and / or - the parameters PARM (P _n ) can be specified and / or changed, and / or - a model MOD _{RS of} the living being as a network of a number N interacts from several possible models of the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be selected, and / or interactions of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or - the respective reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

of the MOD _RS model from several possible reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be selected and / or - the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

are changeable, and / or - an interaction of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

can be predetermined and / or changed, and / or the parameters PARM (P _n ) from several possible parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be selected, and / or - the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

can be specified and / or changed. Device (100) according to one of the preceding claims, in which the output interface (10) is connected to an output unit (16) for outputting data via the MOD _SR * model and / or via the MOD _RS * model. Device (100) according to one of the preceding claims, in which a simulation unit (18) is present, the simulation unit (18) for simulating and / or predicting the time-dependent processes PROZ _n (t) based on predetermined stimuli X _n (t) using of the MOD _SR * model and / or for the simulation and / or prediction of the time-dependent processes PROZ _n (t) based on predetermined reactions Y _n (t) by means of the MOD _RS * model is implemented and set up. Device (100) according to one of the preceding claims, in which the processes PROZ _n map a dynamic system, wherein each stimulus-response sub-model P _{n determines} a response Y _{n of} the process PROZ _n with a phase delay for a given stimulus X _n. A method, comprising the steps: providing (S1) a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2 wherein the stimulus-response submodels P _n in each case a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n of the process PROZ _n determined, and wherein the stimulus-reaction sub-models P _{n are} each parameterized by parameters PARM (P _n ), - providing (S2) a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, - measuring (S3) the stimuli X _n on the living being as measured variables X̃ _n , - determining (S4) for the measured variables X̃ _n by means of the stimulus-response sub-models P _n, respective reactions Y _n (X̃ _n ), - determining (S5) for the determined reactions Y _n (X̃ _n ) by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each stimuli X̂ _n (Y _n (X̃ _n )), - comparison (S6) of the measured variables X̃ _{n of} the stimuli with the determined stimuli X̂ _n (Y _n (X̃ _n )) to determine a comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))), - Change (S7) the parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE 1 _n (X̃ _n , X̂ _n (Y _n (X̃ _n ))) to individualized parameters PARM (P _n ) *, and - output (S8) • the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and or • of based on the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or • the individualized parameters PARM (P _n ) *, and / or • stimulus-response sub-models P _n individualized on the basis of the individualized parameters PARM (P _n ) * for P _n *, and / or • one of to Basis of the individualized stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model. A method, comprising the steps: providing (S1) a stimulus-response model MOD _{SR of} a living being as a network of a number N of interacting stimulus-response sub-models P _n with n = 1, 2, ..., N and N≥2 wherein the stimulus-response submodels P _n in each case a physical and / or chemical process PROZ _n of the subject describe, each stimulus-response submodel P _n for a given stimulus X _n a response Y _n of the process PROZ _n determined, and wherein the stimulus-reaction sub-models P _{n are} each parameterized by parameters PARM (P _n ), - providing (S2) a reaction-stimulus model MOD _{RS of} the living being as a network of a number N interacting reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

with n = 1,2, ..., N and N≥2, where the response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each describe the physical and / or chemical process PROZ _{n of} the living being, with each reaction-stimulus sub-model ${{\displaystyle \widehat{P}}}_n^{-1}$

for a given reaction Ŷ _n a stimulus X̂ _{n of} the process PROZ _{n is} determined, and the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

each by parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

are parameterized, - measuring (S3) the stimuli Y _n on the living being as measured variables Ỹ _n , - determining (S4) for the measured variables Ỹ _n by means of the reaction-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

stimuli X̂ _n (Ỹ _n ), - determining (S5) for the determined stimuli X̂ _n (Ỹ _n ) by means of the stimulus-response sub-models P _n, respectively reactions Y _n (X̂ _n (Ỹ _n )), and - comparing ( S6) of the measured variables Ỹ _{n of} the reactions and the determined reactions Y _n (X̂ _n (Ỹ _n )) to determine a comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n )), - change (S7) the parameter $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)$

based on the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or changing the parameters PARM (P _n ) on the basis of the comparison result VE 2 _n (Ỹ _n , Y _n (X̂ _n (Ỹ _n ))) to individualized parameters PARM (P _n ) *, and - output (S8) • the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*,$

and / or • on the basis of the individualized parameters $\text{PARM}\left({{\displaystyle \widehat{P}}}_n^{-1}\right)*\text{to}{{\displaystyle \widehat{P}}}_n^{-1}*$

individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1},$

and / or • the individualized parameters PARM (P _n ) *, and / or • stimulus-response sub-models P _n individualized on the basis of the individualized parameters PARM (P _n ) * for P _n *, and / or • one of to Basis of the individualized stimulus-response sub-models P _n * for MOD _SR * individualized model MOD _SR , and / or one of based on the individualized response-stimulus sub-models ${{\displaystyle \widehat{P}}}_n^{-1}$

* to MOD _RS * individualized MOD _RS model.

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