Individual system performance management

• US 7,701,353 B1
• Filed: 12/29/2006
• Issued: 04/20/2010
• Est. Priority Date: 12/30/2005
• Status: Active Grant

• Current Assignee: Carlos W. Moreno
• Original Assignee: Carlos W. Moreno
• Inventors: Moreno, Carlos W.
• Primary Examiner(s): Lee; Benjamin C
• Assistant Examiner(s): Walk; Samuel J
• Application Number:
  US11/618,133
• Time in Patent Office: 1,208 Days
• Field of Search: 340/539.12, 340/573.1, 706/11, 706/45
• US Class Current: 340/573.3
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y10S 706/924 Medical

Abstract

Individual System Performance Management apparatus employs in one manifestation Sequential Empirical Optimization (SEO) in its illustrative version to manage a sequence of periodic readjustment to adjust inputs of an input/output system with the aim to maximize the cumulative sequence of overall value delivered by the system. SEO continually updates its learning from the stored run data. In this discussion, the term “adjusting” control inputs is used the same as “setting” control inputs, including adjusting or setting things by hand.

Claims

1. An individual system performance management device said device adapted to provide adjustment advice for continual near-best operating performance of said system;

said device incorporating algorithmic analysis/synthesis within the device such that said device refines its learning about said system'"'"'s response as operating data is collected;

said device further providing updated adjustment management advice;

said device being further adapted to detect abnormal behavior for expert analysis and resolution and to provide dynamic awareness for when there are changing conditions; and

wherein the device is adapted to perform both forward analysis and backward analysis, where forward analysis is based on an estimated input and backward analysis is based on an estimated output.

2. The device of claim 1 where said algorithmic analysis/synthesis is accomplished by Sequential Empirical Optimization.

3. The device of claim 1 where said system is a management system for a patient with a chronic disease adapted to provide disease management advice under usual states for that disease, said advice being focused on what said patient should or could do and being tailored to the specific conditions and response of the patient.

4. The device of claim 3 wherein said chronic disease is diabetes.

5. The device of claim 1 wherein said analysis is accomplished locally.

6. The device of claim 1 wherein said analysis is accomplished by a centrally-located server.

7. The device of claim 3 wherein said device generates suggested treatment based upon individual response.

8. The device of claim 3 wherein patient data is collected by one or more medical sensor devices.

9. The device of claim 3 wherein when said device detects abnormalities and directs said patient to obtain further advice and diagnosis by medical experts.

10. The device of claim 3 wherein the determination of treatment is determined by recording and analyzing said patient'"'"'s response to conditions.

11. The device of claim 3 wherein said device is dynamic in that it is adapted to consider changes in individual response as a function of time.