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Computer aided device for early identifying and predicting senile dementia

A computer-aided, geriatric technology, applied in computer-aided medical procedures, calculations, diagnostic records/measurements, etc., can solve problems such as ineffective treatment and inability to perform memory scale tests

Inactive Publication Date: 2006-10-04
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The third stage: about 8 to 12 years after the onset, it is general dementia, extreme mental retardation, and limb and sphincter dysfunction; EEG examination shows comprehensive slow waves, head CT shows whole brain atrophy; memory capacity Table test is no longer possible
Before the present invention was made, patients often found out that they had AD and were already in the middle or late stage after going to a specialized hospital for rashes, and the treatment at this time had almost no effect

Method used

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  • Computer aided device for early identifying and predicting senile dementia
  • Computer aided device for early identifying and predicting senile dementia
  • Computer aided device for early identifying and predicting senile dementia

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] refer to figure 1 , figure 2 , image 3 , a computer-aided device for early identification and prediction of senile dementia, the device includes an AD test server 2 and an inspection client 1, and the server 2 includes: a basic information memory unit 18 for recording testers Personal basic information; a check permission judgment unit 6, used to judge whether the tester is allowed to carry out AD judgment: for the tester who already has a record, obtain the date of the previous test and compare it with the day of the test, if the interval does not exceed The set time is forbidden to check, and the set time is usually required within three months. The purpose is to prevent errors in scoring after familiarizing with the test scale; otherwise, checks are allowed; a scale memory unit 4 is used for multiple ADs The test check client computer provides a variety of objectively correct and false AD judgment tables; a scale sending unit 5 is used to send the AD judgment tab...

Embodiment 2

[0188] refer to figure 2 , image 3 , Figure 4 , in some places where the server and the client cannot communicate and interact, the AD inspection and diagnosis stand-alone mode can also be used for AD diagnosis and prediction, and the AD statistical data and AD degree judgment can be downloaded from the AD professional data server at regular intervals Standard to update the AD degree statistical memory unit 10, the whole AD diagnosis and prediction are the same as in embodiment 1, as Figure 4 As shown, the example of the test scale used in the test is shown in Table 5, and the results are shown in Table 1, Table 2, Table 3, and Table 4. The description of AD diagnosis and prediction results is omitted here because it has been explained above. these instructions.

Embodiment 3

[0190] refer to figure 2 , image 3 , Figure 5 , for some places where there is no computer, you can use paper to test and then use OCR to read the test results. The whole process is as follows Figure 5As shown, especially in remote areas and areas where computers are not popularized, this method is more applicable. The tester answers the questions while looking at the test scale, and the answered questions are written on the pre-made answer sheet, and then Carry out batch processing by OCR reading device 19, OCR read drive unit 20 and read in the computer and carry out AD diagnosis and prediction, whole AD diagnosis and prediction are the same as embodiment 1, the example of the test scale used in the test is as table 5 As shown, the results are shown in Table 1, Table 2, Table 3, and Table 4. The relevant AD diagnosis and prediction results are explained here because they have been set forth above and are omitted here. The printout unit 22 prints out the test result re...

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PUM

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Abstract

Disclosed is a computer-aided device for forepart discriminating and forecasting senile dementia comprising an AD test server and a checking client machine. The server contains:Personal basic information memory unit, check license predicting unit, dial gauge memory unit, dial gauge delivery unit, receiving-replying unit, AD degree examining-predicting unit for expressing conner AD degree according to the response of the receiving-replying unit, result sending unit, memory Stat. unit and AD degree memory unit. The checking client machine contains:dial gauge receiving unit, dial gauge expressing unit, response obtaining unit, response sending unit, result incepting unit and result displaying unit. This invention can objectively judge whether the conner is suffering from senile dementia or has senile dementia portent, judge his current dementia degree and forecast his future dementia degree according to the responses.

Description

(1) Technical field [0001] The invention belongs to the application of computer technology, network technology and communication technology in the early diagnosis and prediction of senile dementia, and is suitable for super early diagnosis, prediction and treatment of senile dementia in rehabilitation centers, hospitals, nursing homes, communities and families Evaluation of intervention and rehabilitation effects. (2) Background technology [0002] Alzheimer's disease (AD, hereinafter referred to as AD) is a degenerative disease of the central nervous system mainly characterized by progressive cognitive impairment and memory impairment. With the increasing aging of the world, AD is endangering people's health more and more seriously. According to foreign data, in the world, AD will cost 100 billion U.S. dollars every year. AD has become the fourth leading cause of death after heart disease, tumor and stroke in western countries. AD is not only a serious health problem, bu...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06F19/00
CPCG16H50/20
Inventor 汤一平刘小平陈眉
Owner ZHEJIANG UNIV OF TECH
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