System for pain diagnosis and method therefor

• US 20030139652A1
• Filed: 08/13/2002
• Published: 07/24/2003
• Est. Priority Date: 01/22/2002
• Status: Abandoned Application

• Current Assignee: Ilisoft Company KR
• Original Assignee: Ilisoft Company KR
• Inventors: Kang, Maing Kyu, Kang, Yoon Kyoo
• Application Number:
  US10/216,819
• Publication Number:
  US 20030139652A1
• Time in Patent Office: Days
• US Class Current: 600/300
• 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 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence

Abstract

Disclosed is a system for pain diagnosis, comprising an input module (10) for receiving inputs of pain areas of a patient onto a three-dimensional human body model, a diagnosis module (20) for deriving diagnosis results, comprising a database (22) for storing data on common pain patterns, a submodule A (21) for checking over a surface of the human body model, comparing the inputted pain areas with respect to the model, and deriving referred pain patterns, a submodule B (23) for allowing the patient to confirm symptoms of the derived pain patterns and assigning weighted values to confirmed pain patterns, a submodule C (24) for comparing images of the confirmed pain patterns with the inputted pain areas, and a submodule D (25) for calculating degrees of matching between the confirmed pain patterns and the inputted pain areas, and an output module (30) for outputting the diagnosis results.

Claims

1. A system for pain diagnosis, comprising:

an input module for receiving inputs of pain areas of a patient onto a three-dimensional human body model which comprises uniformly divided multiple cells;

a diagnosis module for deriving diagnosis results, comprising a database for storing data on various pain patterns, a submodule A for checking over a surface of the human body model according to divided multiple blocks, comparing the inputted pain areas with respect to the blocks, and deriving referred pain patterns with respect to the blocks corresponding to the patient'"'"'s pain areas from the database, a submodule B for allowing the patient to confirm symptoms of the derived pain patterns and assigning weighted values to confirmed pain patterns, according to degrees of matching upon confirmation, a submodule C for comparing images of the confirmed pain patterns with the inputted pain areas, and a submodule D for calculating degrees of matching between the confirmed pain patterns and the inputted pain areas; and

an output module for outputting the diagnosis results derived from the diagnosis module.

2. The system as set forth in claim 1, wherein the input module includes a function of receiving inputs of pain symptoms of the patient in a format of answers to questions.

3. The system as set forth in claim 1, wherein the output module outputs the diagnosis results derived from the diagnosis module, in a tree structure according to the order of likelihood.

4. The system as set forth in claim 3, wherein the output module represents the pain patterns shown in the tree structure on a three-dimensional human body model where the patient'"'"'s pain areas have been represented.

5. The system as set forth in claim 3, wherein the output module represents nerves shown in the tree structure on a three-dimensional human body model where the patient'"'"'s pain areas have been represented.

6. The system as set forth in claim 1, wherein the output module concurrently outputs symptoms and a prescription corresponding to the diagnosis results.

7. A method for pain diagnosis, comprising the steps of:

inputting patient'"'"'s primary information and pain areas in an input module;

checking over a surface of a human body model according to divided multiple blocks, comparing the inputted pain areas with respect to the blocks, and deriving referred pain patterns with respect to the blocks corresponding to the patient'"'"'s pain areas from the database, using a submodule A of a diagnosis module;

allowing the patient to confirm symptoms of the derived pain patterns and assigning weighted values to confirmed pain patterns, according to degrees of matching upon confirmation, using a submodule B of the diagnosis module;

comparing images of the confirmed pain patterns with the inputted pain areas, using a submodule C of the diagnosis module;

calculating degrees of matching between the confirmed pain patterns and the inputted pain areas, thereby deriving diagnosis results, using a submodule D of the diagnosis module; and

outputting the derived diagnosis results through an output module.