Application and device for diagnosing Alzheimer's disease

A technology for Alzheimer's disease, diagnoser, applied in the directions of diagnosis, application, diagnosis recording/measurement, etc., can solve the problems of boring process, long test time, and difficult for AD patients to complete it.

Active Publication Date: 2020-01-17
BEIJING MUSICAL INSTR RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the process of the scale diagnosis method is boring and the test time is long, and it is difficult for AD patients to persist in completing it. Moreover, the scale diagnosis method needs to be tested one-to-one, which is labor-intensive and not suitable for large-scale adoption.

Method used

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  • Application and device for diagnosing Alzheimer's disease
  • Application and device for diagnosing Alzheimer's disease
  • Application and device for diagnosing Alzheimer's disease

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0241] Embodiment 1 establishes diagnostic model A

[0242] according to figure 2 , 4 The method or device establishes the diagnosis model A and performs the diagnosis.

[0243] Randomly select 15 participants with Alzheimer's disease (MMSE scale score 15-20 points, 8 males, 7 females) and 15 healthy participants (MMSE scale score above 26 points, males 8 people, 7 women) as a training set, record each person's education level (1 means elementary school, 2 means junior high school, 3 means high school) and actual age.

[0244] (1) pitch test

[0245] According to the actual physical and mental state of the 30 participants, choose Angloon, thumb piano (Kalimba kalimba) or piano instrument respectively. Before the test, show the selected musical instruments to the participants, and perform a demonstration of playing the tones, and ask the participants to try until they can play the tones proficiently.

[0246] Intonation test 1: The staff will play the three tones called...

Embodiment 2

[0283] Embodiment 2 establishes diagnostic model B

[0284]According to the education level of all people in embodiment 1, intonation test 1 (YZ1), rhythm test 1 (DJ1) data and MMSE diagnosis result, carry out parameter training by logistic regression algorithm, obtain diagnosis model B as follows:

[0285] Y=27.663+(-2.180)×R 1 +(-1.989)×R 2 +(-2.701)×R 5

[0286] Among them, Y represents the diagnosis result, R 1 Indicates education level, R 2 Indicates pitch test 1 score, R 5 Indicates the score of rhythm test 1; and the threshold value is 0, that is, Y>0, the diagnosis result is diseased, otherwise the diagnosis result is not diseased.

Embodiment 3

[0287] Embodiment 3 establishes diagnostic model C

[0288] According to the education level of all people in embodiment 1, pitch test 1 (YZ1), pitch test 2 (YZ2), rhythm test 1 (DJ1), rhythm test 2 (DJ2) data and MMSE diagnosis result, carry out by logistic regression algorithm Parameter training, the diagnosis model C is obtained as follows:

[0289] Y=15.4818+0.8629×R 1 +(-0.7602)×R 2 +(-0.5532)×R 3 +0.3974×R 5 +(-2.9928)×R 6

[0290] Among them, Y represents the diagnosis result, R 1 Indicates education level, R 2 Indicates pitch test 1 score, R 3 Indicates pitch test 2 score, R 5 Indicates the rhythm test 1 score, R 6 Indicates the score of rhythm test 2; and the threshold value is 0.667, that is, Y>0.667, the diagnosis result is diseased, otherwise the diagnosis result is not diseased.

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Abstract

The invention belongs to the technical field of diagnostic devices, in particular to an application of a keyboard instrument and a percussion instrument in manufacturing a device for diagnosing Alzheimer's disease, wherein a person to be diagnosed is subjected to a sound level test by using the keyboard instrument to obtain a sound level score, a person to be diagnosed is subjected to a rhythm test by using the percussion instrument to obtain a rhythm score, and the sound level score and the rhythm score are substituted into a diagnosis model established in advance by a machine learning methodto calculate and obtain a diagnosis result. The invention further relates to the device for diagnosing the Alzheimer's disease. The method can diagnose the Alzheimer's disease simply, accurately andrapidly, and is suitable for large-scale use.

Description

technical field [0001] The invention belongs to the technical field of diagnostic devices, and in particular relates to the use of keyboard instruments and percussion instruments in manufacturing a device for diagnosing Alzheimer's disease, and also relates to a device for diagnosing Alzheimer's disease. Background technique [0002] Alzheimer's disease (AD) is an age-related chronic progressive central nervous system degenerative disease. Among the elderly over 65 years old, the prevalence of AD is about 5%, and the risk of AD will double for every 5 years of age thereafter. In 2015, the number of AD patients in the world was about 46.8 million. According to the latest statistics in 2017, the prevalence of AD among people aged 65 and over in my country is 5.56%. At present, the disease cannot be cured, and drug intervention is mainly used to relieve symptoms and delay the development of the disease. Therefore, early prediction, early detection, early diagnosis and early ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G06N20/00G16H20/00
CPCA61B5/4088A61B5/7282G16H20/00G06N20/00
Inventor 张小川陈显扬赵春婷高彤
Owner BEIJING MUSICAL INSTR RES INST
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