Diabetes monitor

• US 20090312620A1
• Filed: 04/24/2005
• Published: 12/17/2009
• Est. Priority Date: 04/27/2005
• Status: Abandoned Application

• Current Assignee: Hou-Mei Henry Chang
• Original Assignee: Hou-Mei Henry Chang
• Inventors: Chang, Hou-Mei Henry
• Application Number:
  US11/919,374
• Publication Number:
  US 20090312620A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A diabetes monitor can provide diabetes information is invented in this invention. It comprises an input module, a storage module, and a knowledge base system module. This invention breaks through the design idea of traditional diabetes monitors. It not only can monitor the blood glucose values but also can generate the diabetes state of the patient. So it makes patients recognizing their own diabetes state in time, and can take effective control and treatment accordingly.

Claims

1. A Diabetes Monitor comprising,

a set of input means receiving a set of patient'"'"'s blood glucose values;

a set of storage means storing said set of patient'"'"'s blood glucose values from said set of input means; and

a set of knowledge-based system means inferring information of diabetes states from said set of patient'"'"'s blood glucose values received from said set of storage means.

2. Said set of input means of claim 1 is a set of blood glucose monitoring means for monitoring said set of patient'"'"'s blood glucose values.

3. Said set of knowledge-based system means of claim 1 connects to a set of display means for displaying said set of patient'"'"'s blood glucose values and said information of diabetes states.

4. The differences between said set of patient'"'"'s blood glucose values of claim 1 is the differences of sampling times.

5. Said set of patient'"'"'s blood glucose values of claim 4 comprising,

a set of fasting blood glucose values,

a set of blood glucose values by sampling times related to OGTT glucose load,

a set of blood glucose values by sampling times related to meal, and

a set of casual blood glucose values sampled at any time except the above mentioned three sets.

6. Said set of blood glucose values by sampling times related to OGTT glucose load of claim 5 being a set of blood glucose values sampled 2 hours post-glucose load;

said set of blood glucose values that sampling time related to meal being a set of blood glucose values sampled 2 hours post-meal.

7. Said set of knowledge-based systems of claim 5 comprising,

a set of receiving means,

a set of output means, and

a set of inference means connected with a set of knowledge bases;

said set of knowledge bases being a set of two-dimensional arrays for describing relationship between said set of patient'"'"'s blood glucose values and said set of diabetes states;

said set of receiving means receiving said set of patient'"'"'s blood glucose values from said set of storage means;

said set of inference means searching said set of diabetes knowledge bases and comparing components in said set of knowledge bases with said set of received patient'"'"'s blood glucose values and finding out one or more component that closest to received blood glucose values;

after getting diabetes states information, said set of knowledge-based system sending said information to said set of display means to display and/or said set of storage means to store.

8. Said Diabetes Monitor of claim 1 comprising

a set of input means, a set of storage means, a set of data transfer means, and a set of display means;

said set of storage means receiving said set of patients blood glucose values from said set of input means, storing them in the format of blood glucose value arrays, and delivering them to a set of data transfer means;

through data communications, said set of data transfer means connecting to a set of outside knowledge base means, delivering said set of patient'"'"'s blood glucose value arrays to and receiving information about diabetes states from said set of knowledge-based systems.

9. Said set of input means of claim 8 is a set of blood glucose monitoring means for determining patient'"'"'s blood glucose values.

10. Said Diabetes Monitor of claim 8 comprising said blood glucose array comprising blood glucose values of different categories;

Said set of blood glucose values stored in said arrays of claim 8 comprising blood glucose values of different categories,

Said different categories comprising different sampling modes and different sampling times;

said different sampling modes comprising sampling blood from veins and from capillary vessels, and

said different sampling times comprising fasting blood glucose, sampling time relating to OGTT time, sampling time relating to meal, and any sampling times except said above-mentioned three times.

11. Said set of blood glucose values of claim 10 comprising

said set of blood glucose values related to OGTT being the blood glucose value-2hpg,

said blood glucose value related to the time of taking meal being the blood glucose value-2hpm, and

said casual blood glucose value being blood glucose value taking at any time except said blood glucose values-2hpg, said blood glucose value-2hpm, and said fasting blood glucose value.

12. Said set of outside knowledge-based system of claim 11, comprising

said set of receiving means,

said set of inference means that connected with said setoff diabetes knowledge base,

said set of output means;

said set of diabetes knowledge bases being a set of two-dimensional arrays describing relationships between said set of blood glucose value array and said set of diabetes states;

said set of receiving units receiving said set of blood glucose values from said set of storage means;

said set of inference means searching said set of diabetes knowledge bases and comparing components in said knowledge base with said received blood glucose values and finding out one or more component that closest to said received blood glucose values;

wherein getting diabetes states information, sending to said display means to display and/or to said storage means to store.

13. Said set of data transmitting means in said diabetes monitor of claims 12, being a set of wireless communication terminals, internet communication terminals, and data interfaces.