Patent US5956501A successfully refreshed from Google Patents.
US5956501A
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Disease simulation system and method
Assignee: Robert Bosch Healthcare Systems Inc
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Filing: 1997-01-10
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Granted: 1999-09-21
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Expires: 2017-01-10
Abstract
Abstract A system and method for predicting the effect of patient self-care actions on a disease control parameter. A future disease control parameter value X(t j ) at time t j is determined from a prior disease control parameter value X(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between the prior disease control parameter value X(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i . The differentials are multiplied by corresponding scaling factors K M . The system includes an input device for entering the patient self-care values S M (t i ). A memory stores the optimal control parameter values R(t i ) and R(t j ), the prior disease control parameter value X(t i ), the optimal self-care values O M (t i ), and the scaling factors K M . A processor in communication with the input device and memory calculates the future disease control parameter value X(t j ). A display is connected to the processor to display the future disease control parameter value X(t j ) to a patient.
Inventors
- 👤 Stephen J. Brown
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-30 13:46
CPC Classifications
G; G16; G16H; G16H20/00; G16H20/10; G16H20/13; A; A61; A61B; A61B5/00; A61B5/41; A61B5/411; A61B5/68; A61B5/6887; A61B5/6896; A61B5/72; A61B5/7271; A61B5/7275; G01; G01N; G01N33/00; G01N33/48; G01N33/483; G01N33/487; G01N33/48785; G01N33/48792; G09; G09B; G09B19/00; G16H10/00; G16H10/40; G16H20/30; G16H50/00; G16H50/50; A61B5/0002; A61B5/145; A61B5/14532; G01N35/00; G01N35/00584; G01N35/00722; G01N2035/00891; G16H20/17; G16H20/60; G16H40/00; G16H40/60; G16H40/63; G16H50/30; G16H70/00; G16H70/20; Y; Y10; Y10S; Y10S128/00; Y10S128/92
Claims Analysis
Total Claims: 36
Claim 1
Independent Claim
247 words
A system for simulating a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from a prior disease control parameter value X(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said prior disease control parameter value X(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said system comprising: a) an input means for entering said patient self-care values S M (t i ); b) a memory means for storing said optimal control parameter values R(t i ) and R(t j ), said prior disease control parameter value X(t i ), said optimal self-care values O M (t i ), and said scaling factors K M ; c) a processor means in communication with said input means and said memory means for calculating said future disease control parameter value X(t j ) according to the equation: ##EQU4## d) a display means for displaying said future disease control parameter value X(t j ), thereby enabling the patient to adjust their self care actions.
Claim 2
Independent Claim
247 words
A system for simulating a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from a prior disease control parameter value X(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said prior disease control parameter value X(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said system comprising: a) an input means for entering said patient self-care values S M (t i ); b) a memory means for storing said optimal control parameter values R(t i ) and R(t j ), said prior disease control parameter value X(t i ), said optimal self-care values O M (t i ), and said scaling factors K M ; c) a processor means in communication with said input means and said memory means for calculating said future disease control parameter value X(t j ) according to the equation: ##EQU4## d) a display means for displaying said future disease control parameter value X(t j ), thereby enabling the patient to adjust their self care actions.
Claim 3
Dependent Claim
142 words
The system of claim 1, further comprising a recording means in communication with said processor means for recording an actual control parameter value A(t i ) at time t i , an actual control parameter value A(t j ) at time t j , and actual self-care parameters having actual self-care values C M (t i ) at time t i , and wherein said processor means further comprises means for adjusting said scaling factors K M based on the difference between said actual control parameter value A(t j ) and said optimal control parameter value R(t j ), the difference between said actual control parameter value A(t i ) and said optimal control parameter value R(t i ), and the difference between said actual self-care values C M (t i ) and said optimal self-care values O M (t i ).
Claim 4
Dependent Claim
29 words
The system of claim 2, wherein said recording means comprises a measuring means for producing measurements of said actual control parameter values A(t i ) and A(t j ).
Claim 5
Dependent Claim
46 words
The system of claim 1, wherein said input means further comprises means for entering a value of a physiological parameter of a patient and said processor means further comprises means for determining at least one of said scaling factors from said value of said physiological parameter.
Claim 6
Dependent Claim
29 words
The system of claim 4, wherein said physiological parameter is selected from the group consisting of a body mass, an insulin sensitivity, a metabolism rate, and a fitness level.
Claim 7
Dependent Claim
15 words
The system of claim 1, wherein said disease control parameter comprises a blood glucose level.
Claim 8
Dependent Claim
31 words
The system of claim 6, wherein at least one of said patient self-care parameters is selected from the group consisting of a food exchange, an insulin dose, and an exercise duration.
Claim 9
Dependent Claim
23 words
The system of claim 1, wherein said input means, said memory means, and said processor means are operated on a stand-alone computing device.
Claim 10
Dependent Claim
27 words
The system of claim 1, wherein said input means, said memory means, and said processor means are operated on a plurality of computers communicating over a network.
Claim 11
Dependent Claim
36 words
The system of claim 1, wherein said input means, said memory means, and said processor means comprise a patient multi-media processor and a healthcare provider computer communicating with said patient multi-media processor via a smart card.
Claim 12
Independent Claim
255 words
A system for predicting an effect of patient self-care actions on a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from an actual disease control parameter value A(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said actual disease control parameter value A(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said system comprising: a) an input means for entering said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ); b) a memory means for storing said optimal control parameter values R(t i ) and R(t j ), said optimal self-care values O M (t i ), and said scaling factors K M ; c) a processor means in communication with said input means and said memory means for calculating said future disease control parameter value X(t j ) according to the equation: ##EQU5## d) a display means for displaying said future disease control parameter value X(t j ), thereby enabling the patient to adjust their self care actions.
Claim 13
Independent Claim
255 words
A system for predicting an effect of patient self-care actions on a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from an actual disease control parameter value A(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said actual disease control parameter value A(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said system comprising: a) an input means for entering said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ); b) a memory means for storing said optimal control parameter values R(t i ) and R(t j ), said optimal self-care values O M (t i ), and said scaling factors K M ; c) a processor means in communication with said input means and said memory means for calculating said future disease control parameter value X(t j ) according to the equation: ##EQU5## d) a display means for displaying said future disease control parameter value X(t j ), thereby enabling the patient to adjust their self care actions.
Claim 14
Dependent Claim
124 words
The system of claim 11, wherein said input means further comprises means for entering an actual control parameter value A(t j ) at time t j and actual self-care parameters having actual self-care values C M (t i ) at time t i , and wherein said processor means further comprises means for adjusting said scaling factors K M based on the difference between said actual control parameter value A(t j ) and said optimal control parameter value R(t j ), the difference between said actual control parameter value A(t i ) and said optimal control parameter value R(t i ), and the difference between said actual self-care values C M (t i ) and said optimal self-care values O M (t i ).
Claim 15
Dependent Claim
31 words
The system of claim 12, further comprising a measuring means connected to said input means for producing measurements of said actual control parameter values A(t j ) and A(t j ).
Claim 16
Dependent Claim
46 words
The system of claim 11, wherein said input means further comprises means for entering a value of a physiological parameter of a patient and said processor means further comprises means for determining at least one of said scaling factors from said value of said physiological parameter.
Claim 17
Dependent Claim
29 words
The system of claim 14, wherein said physiological parameter is selected from the group consisting of a body mass, an insulin sensitivity, a metabolism rate, and a fitness level.
Claim 18
Dependent Claim
15 words
The system of claim 11, wherein said disease control parameter comprises a blood glucose level.
Claim 19
Dependent Claim
31 words
The system of claim 16, wherein at least one of said patient self-care parameters is selected from the group consisting of a food exchange, an insulin dose, and an exercise duration.
Claim 20
Dependent Claim
23 words
The system of claim 11, wherein said input means, said memory means, and said processor means are operated on a stand-alone computing device.
Claim 21
Dependent Claim
27 words
The system of claim 11, wherein said input means, said memory means, and said processor means are operated on a plurality of computers communicating over a network.
Claim 22
Dependent Claim
36 words
The system of claim 11, wherein said input means, said memory means, and said processor means comprise a patient multi-media processor and a healthcare provider computer communicating with said patient multi-media processor via a smart card.
Claim 23
Independent Claim
276 words
A method for simulating a disease control parameter in a simulation system such that a future disease control parameter value X(t j ) at time t j is determined from a prior disease control parameter value X(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said prior disease control parameter value X(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said simulation system comprising a memory, a processor connected to said memory, a display connected to said processor, and an input means for entering in said processor said patient self-care values S M (t i ), said method comprising the following steps: a) storing in said memory said optimal control parameter values R(t i ) and R(t j ), said prior disease control parameter value X(t i ), said optimal self-care values O M (t i ), and said scaling factors K M ; b) entering in said processor said patient self-care values S M (t i ); c) calculating in said processor said future disease control parameter value X(t j ) according to the equation: ##EQU6## d) displaying said future disease control parameter value X(t j ) on said display, thereby enabling the patient to adjust their self care actions.
Claim 24
Independent Claim
276 words
A method for simulating a disease control parameter in a simulation system such that a future disease control parameter value X(t j ) at time t j is determined from a prior disease control parameter value X(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said prior disease control parameter value X(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said simulation system comprising a memory, a processor connected to said memory, a display connected to said processor, and an input means for entering in said processor said patient self-care values S M (t i ), said method comprising the following steps: a) storing in said memory said optimal control parameter values R(t i ) and R(t j ), said prior disease control parameter value X(t i ), said optimal self-care values O M (t i ), and said scaling factors K M ; b) entering in said processor said patient self-care values S M (t i ); c) calculating in said processor said future disease control parameter value X(t j ) according to the equation: ##EQU6## d) displaying said future disease control parameter value X(t j ) on said display, thereby enabling the patient to adjust their self care actions.
Claim 25
Dependent Claim
126 words
The method of claim 21, further comprising the steps of recording an actual control parameter value A(t i ) at time t i , an actual control parameter value A(t j ) at time t j , and actual self-care parameters having actual self-care values C M (t i ) at time t i and adjusting said scaling factors K M based on the difference between said actual control parameter value A(t j ) and said optimal control parameter value R(t j ), the difference between said actual control parameter value A(t i ) and said optimal control parameter value R(t i ), and the difference between said actual self-care values C M (t i ) and said optimal self-care values O M (t i ).
Claim 26
Dependent Claim
36 words
The method of claim 21, further comprising the steps of determining a value of a physiological parameter of a patient and determining at least one of said scaling factors from said value of said physiological parameter.
Claim 27
Dependent Claim
29 words
The method of claim 23, wherein said physiological parameter is selected from the group consisting of a body mass, an insulin sensitivity, a metabolism rate, and a fitness level.
Claim 28
Dependent Claim
15 words
The method of claim 21, wherein said disease control parameter comprises a blood glucose level.
Claim 29
Dependent Claim
31 words
The method of claim 25, wherein at least one of said patient self-care parameters is selected from the group consisting of a food exchange, an insulin dose, and an exercise duration.
Claim 30
Independent Claim
294 words
A method for predicting in a simulation system an effect of patient self-care actions on a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from an actual disease control parameter value A(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said actual disease control parameter value A(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said simulation system comprising a memory, a processor connected to said memory, a display connected to said processor, and an input means for entering in said processor said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ), said method comprising the following steps: a) storing in said memory said optimal control parameter values R(t i ) and R(t j ), said optimal self-care values O M (t i ), and said scaling factors K M ; b) entering in said processor said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ); c) calculating in said processor said future disease control parameter value X(t j ) according to the equation: ##EQU7## d) displaying said future disease control parameter value X(t j ) on said display, thereby enabling the patient to adjust their self care actions.
Claim 31
Independent Claim
294 words
A method for predicting in a simulation system an effect of patient self-care actions on a disease control parameter such that a future disease control parameter value X(t j ) at time t j is determined from an actual disease control parameter value A(t i ) at time t i based on an optimal control parameter value R(t j ) at time t j , the difference between said actual disease control parameter value A(t i ) and an optimal control parameter value R(t i ) at time t i , and a set of differentials between patient self-care parameters having patient self-care values S M (t i ) at time t i and optimal self-care parameters having optimal self-care values O M (t i ) at time t i , said differentials being multiplied by corresponding scaling factors K M , said simulation system comprising a memory, a processor connected to said memory, a display connected to said processor, and an input means for entering in said processor said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ), said method comprising the following steps: a) storing in said memory said optimal control parameter values R(t i ) and R(t j ), said optimal self-care values O M (t i ), and said scaling factors K M ; b) entering in said processor said actual disease control parameter value A(t i ) and said patient self-care values S M (t i ); c) calculating in said processor said future disease control parameter value X(t j ) according to the equation: ##EQU7## d) displaying said future disease control parameter value X(t j ) on said display, thereby enabling the patient to adjust their self care actions.
Claim 32
Dependent Claim
115 words
The method of claim 27, further comprising the steps of entering in said processor an actual control parameter value A(t j ) at time t i and actual self-care parameters having actual self-care values C M (t i ) at time t i and adjusting said scaling factors K M based on the difference between said actual control parameter value A(t j ) and said optimal control parameter value R(t j ), the difference between said actual control parameter value A(t i ) and said optimal control parameter value R(t i ), and the difference between said actual self-care values C M (t i ) and said optimal self-care values O M (t i ).
Claim 33
Dependent Claim
36 words
The method of claim 27, further comprising the steps of determining a value of a physiological parameter of a patient and determining at least one of said scaling factors from said value of said physiological parameter.
Claim 34
Dependent Claim
29 words
The method of claim 29, wherein said physiological parameter is selected from the group consisting of a body mass, an insulin sensitivity, a metabolism rate, and a fitness level.
Claim 35
Dependent Claim
15 words
The method of claim 27, wherein said disease control parameter comprises a blood glucose level.
Claim 36
Dependent Claim
31 words
The method of claim 31, wherein at least one of said patient self-care parameters is selected from the group consisting of a food exchange, an insulin dose, and an exercise duration.
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