Cognitive disease community early recognition and intervention support system

Abstract

The invention relates to the technical field of medical information, and discloses a cognitive disease community early recognition and intervention support system. The cognitive disease community early recognition and intervention support system comprises a user management module and a recognition and intervention module, the recognition and intervention module comprises a data acquisition unit, a data analysis unit and an intervention training unit, and firstly, memory data, attention data, language ability data and executive ability data of old people are collected; the method comprises the following steps of: constructing a corresponding data set, evaluating each ability, calculating a cognitive disease risk index according to an ability evaluation result, and finally judging whether an intervention training scheme needs to be carried out according to the cognitive disease risk index, and by integrating advanced technologies such as a virtual reality technology, big data analysis, an artificial intelligence algorithm and the like, the ability of the system is evaluated. The early recognition of the cognitive disease condition of the old people in the community is realized, a personalized intervention training scheme is provided, the disease progress is effectively delayed, and the life quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a community early identification and intervention support system for dementia. Background Art

[0002] With the advent of an aging society, dementia has become a global public health issue. Early identification and intervention are of great significance for delaying the progression of dementia. However, traditional dementia screening and intervention methods have problems such as low efficiency, high cost, and difficulty in popularization. Therefore, it is of great significance to develop a convenient, efficient, and widely popular community early identification and intervention support system for dementia. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the existing technology, the present invention provides a community early identification and intervention support system for dementia, which has the advantages of being able to identify dementia risks early, take timely intervention measures, and effectively delay the progression of dementia, while reducing the burden on caregivers and improving the quality of life of the elderly.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solution: a community early identification and intervention support system for dementia, comprising a user management module and an identification intervention module, wherein the user management module is connected to the identification intervention module via a network, wherein the identification intervention module comprises a data acquisition unit, a data analysis unit and an intervention training unit, wherein the data acquisition unit is composed of data acquisition and cognitive function testing;

[0007] The data collection is used to collect memory data, attention data, language ability data and executive ability data of the elderly. The data collection respectively forms the collected data into a memory data set, an attention data set, a language ability data set and an executive ability data set and sends them to the cognitive function test. The cognitive function test calculates the memory evaluation value, the attention evaluation value, the language ability evaluation value and the executive ability evaluation value according to the received data set. The data collection unit is connected to the data analysis unit through a network;

[0008] The data analysis unit calculates the dementia risk index according to the memory assessment value, the attention assessment value, the language ability assessment value, and the executive ability assessment value, and sends the dementia risk index calculation result to the intervention training unit;

[0009] The intervention training unit includes a plurality of intervention training programs, and determines whether an intervention training program is needed according to the dementia risk index.

[0010] Preferably, the memory data set is 5 memory data obtained by the elderly through 5 memory tests in one day, and the specific expression is: 1 ,JYsj 2 ,JYsj 3 、···、JYsj 5 , among which, JYsj 1 is the first memory data in the memory data set, JYsj 5 It is the last memory data in the memory data set. The memory test method is a scale assessment and a specific memory test. The memory data is the total score of the scale assessment and the specific memory test.

[0011] Preferably, the attention data set is 5 attention data obtained by the elderly through 5 attention tests in one day, and the specific expression is: ZYsj 1 , ZYsj 2 , ZYsj 3 、···、ZYsj 5 , among which, ZYsj 1 is the first attention data in the attention data set, ZYsj 5 It is the last attention data in the attention data set. The attention test method is a scale assessment and a specific attention test. The attention data is the total score of the scale assessment and the specific attention test.

[0012] Preferably, the language ability data set is 5 language ability data obtained by the elderly through 5 language ability tests in one day, and the specific expression is: YYsj 1 、YYsj 2 、YYsj 3 、···、YYsj 5 , among which, YYsj 1 is the first language proficiency data in the language proficiency data set, YYsj 5 It is the last language proficiency data in the language proficiency data set. The language proficiency test method is a scale assessment and a specific language proficiency test. The language proficiency data is the total score of the scale assessment and the specific language proficiency test.

[0013] Preferably, the executive ability data set is 5 executive ability data obtained by the elderly through 5 executive ability tests in one day, and the specific expression is: ZXsj 1 、ZXsj 2 、ZXsj 3 、···、ZXsj 5 , among which, ZXsj 1It is the first execution capability data in the execution capability data set, ZXsj 5 It is the last execution ability data in the execution ability data set. The execution ability test method is a scale assessment and a specific execution ability test. The execution ability data is the total score of the scale assessment and the specific execution ability test.

[0014] Preferably, the calculation formula of the memory evaluation value is:

[0015]

[0016] In the calculation formula, JYpg represents the calculation result of the memory evaluation value. represents the mean of the memory data set, α is the weight factor, JYsj b Represents standard memory data.

[0017] The calculation formula of the attention evaluation value is:

[0018]

[0019] In the calculation formula, ZYpg represents the calculation result of the attention evaluation value. represents the mean of the attention data set, β is the weight factor, ZYsj b Represents standard attention data.

[0020] Preferably, the calculation formula of the language ability evaluation value is:

[0021]

[0022] In the calculation formula, YYpg represents the calculation result of the language proficiency assessment value. represents the mean of the language proficiency data set, γ is the weight factor, YYsj b Represents standard language proficiency data.

[0023] The calculation formula of the execution capability evaluation value is:

[0024]

[0025] In the calculation formula, ZXpg represents the calculation result of the execution capability evaluation value. represents the mean of the execution capability data set, δ is the weight factor, ZXsj b Represents standard performance data.

[0026] Preferably, the calculation formula of the dementia risk index is:

[0027]

[0028] In the calculation formula, RZFx represents the calculation result of dementia risk index, JYpg c Represents the conventional memory assessment value, ZYpg c represents the conventional attention assessment value, YYpg c represents the general language ability assessment value, ZXpg represents the general execution ability assessment value, ω 1 ,ω 2 ,ω 3 ,ω 4 are all weights, and ω 1 +ω 2 +ω 3 +ω 4 =1.

[0029] Preferably, the multiple intervention training programs are specifically: cognitive training, music therapy, and somatosensory interactive games. When the calculated result of the dementia risk index is greater than the minimum threshold of the dementia risk index, it means that an intervention training program is needed.

[0030] Preferably, the user management module is used to manage user information and data, supports the entry, editing and query of user information, and can generate user reports to display the user's cognitive status and intervention effects.

[0031] Compared with the prior art, the present invention provides a community early identification and intervention support system for dementia, which has the following beneficial effects:

[0032] 1. The present invention realizes the early identification and intervention of dementia among the elderly in the community by integrating advanced virtual reality technology, big data analysis, artificial intelligence algorithms and other technologies. The system can automatically collect and analyze the cognitive function data of the elderly, such as memory, attention, language ability, and executive ability. It can identify potential dementia risks through intelligent algorithms and provide personalized intervention training programs.

[0033] 2. The present invention calculates the dementia risk index by comprehensively evaluating memory, attention, language ability and executive ability, thereby achieving a comprehensive evaluation of multiple cognitive fields and gaining a more comprehensive understanding of the cognitive function status of the elderly. This helps doctors or evaluators to more accurately determine whether the elderly have cognitive impairment and its severity, and can help to discover possible cognitive impairment in the elderly at an early stage, so as to intervene and treat it in a timely manner. This is of great significance for delaying the progression of the disease and improving the quality of life. At the same time, it can arouse the attention of families and society to the cognitive health of the elderly, so that family members can pay more attention to the daily behavior and emotional changes of the elderly, discover abnormal situations in a timely manner and seek professional help. The society can also strengthen the publicity and education on the cognitive health of the elderly and improve the public's awareness and attention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the structural system of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 , a community early identification and intervention support system for dementia, including a user management module and an identification intervention module, the user management module is connected to the identification intervention module through a network, the identification intervention module includes a data collection unit, a data analysis unit and an intervention training unit, and the data collection unit is composed of data collection and cognitive function testing;

[0037] The data collection is used to collect the memory data, attention data, language ability data and executive ability data of the elderly. The data collection forms the collected data into a memory data set, an attention data set, a language ability data set and an executive ability data set and sends them to the cognitive function test. The cognitive function test calculates the memory evaluation value, the attention evaluation value, the language ability evaluation value and the executive ability evaluation value according to the received data set. The data collection unit is connected to the data analysis unit through a network.

[0038] The memory data set is 5 memory data obtained by the elderly after 5 memory tests in one day. The specific expression is: JYsj 1 ,JYsj 2 ,JYsj 3 、···、JYsj 5 , among which, JYsj 1 is the first memory data in the memory data set, JYsj 5 It is the last memory data in the memory data set. The memory test method is the scale assessment and the specific memory test. The memory data is the total score of the scale assessment and the specific memory test.

[0039] The memory test scale assessment includes a memory test assessment scale designed specifically for the elderly, which includes memory decomposition, memory overall and memory time, and can measure the memory of the elderly from different perspectives. The specific memory test includes three steps: declaring the alphabet, memorizing the alphabet and recognizing the alphabet. The memory of the elderly is measured through the test score.

[0040] The attention data set is 5 attention data obtained by the elderly after 5 attention tests in one day. The specific expression is: ZYsj 1 , ZYsj 2 , ZYsj 3 、···、ZYsj 5 , among which, ZYsj 1 is the first attention data in the attention data set, ZYsj 5 It is the last attention data in the attention data set. The attention test method is the scale assessment and the specific attention test. The attention data is the total score of the scale assessment and the specific attention test.

[0041] The attention test scale assessment includes attention test items, such as the attention ability test in the MMSE. At the same time, specific attention tests can use games or tests such as Schulte squares, find the difference, and find the pattern to assess the attention of the elderly;

[0042] The language ability data set is 5 language ability data obtained by the elderly after 5 language ability tests in one day. The specific expression is: YYsj 1 、YYsj 2 、YYsj 3 、···、YYsj 5 , among which, YYsj 1 is the first language proficiency data in the language proficiency data set, YYsj 5 The last language proficiency data in the language proficiency data set. The language proficiency test methods include scale assessment and specific language proficiency test. The language proficiency data is the total score of the scale assessment and specific language proficiency test.

[0043] The language proficiency scale assessment includes a scale of language proficiency test items, specifically a language proficiency test, including naming, repetition, understanding instructions, reading and writing. The specific language proficiency test assesses the oral expression ability of the elderly through simulated conversations, self-introductions, describing pictures or answering questions. At the same time, the elderly are asked to answer questions by playing audio materials such as conversations, lectures, news reports, etc. to assess their language expression ability;

[0044] The executive ability data set is the five executive ability data obtained by the elderly after five executive ability tests in one day. The specific expression is: ZXsj 1 、ZXsj 2 、ZXsj 3 、···、ZXsj 5 , among which, ZXsj 1 It is the first execution capability data in the execution capability data set, ZXsj 5The last execution ability data in the execution ability data set. The execution ability test method is the scale assessment and the specific execution ability test. The execution ability data is the total score of the scale assessment and the specific execution ability test.

[0045] The executive function scale assessment includes executive function test items, such as completing as many number-symbol matching tasks as possible within a specified time. Specific executive function tests can design some tasks that require planning, organization, and execution, such as simulated shopping, role-playing, etc., to assess the executive function and problem-solving ability of the elderly.

[0046] The calculation formula for memory assessment value is:

[0047]

[0048] In the calculation formula, JYpg represents the calculation result of the memory evaluation value. represents the mean of the memory data set, α is the weight factor, JYsj b Represents standard memory data.

[0049] The calculation formula for the attention evaluation value is:

[0050]

[0051] In the calculation formula, ZYpg represents the calculation result of the attention evaluation value. represents the mean of the attention data set, β is the weight factor, ZYsj b represents standard attention data;

[0052] The calculation formula for language proficiency assessment value is:

[0053]

[0054] In the calculation formula, YYpg represents the calculation result of the language proficiency assessment value. represents the mean of the language proficiency data set, γ is the weight factor, YYsj b Represents standard language proficiency data.

[0055] The calculation formula for the execution capability assessment value is:

[0056]

[0057] In the calculation formula, ZXpg represents the calculation result of the execution capability evaluation value. represents the mean of the execution capability data set, δ is the weight factor, ZXsj b Represents standard execution capability data;

[0058] The data analysis unit calculates the dementia risk index according to the memory assessment value, the attention assessment value, the language ability assessment value, and the executive ability assessment value, and sends the dementia risk index calculation result to the intervention training unit;

[0059] The calculation formula for the dementia risk index is:

[0060]

[0061] In the calculation formula, RZFx represents the calculation result of dementia risk index, JYpg c Represents the conventional memory assessment value, ZYpg c represents the conventional attention assessment value, YYpg c represents the general language ability assessment value, ZXpg represents the general execution ability assessment value, ω 1 ,ω 2 ,ω 3 ,ω 4 are all weights, and ω 1 +ω 2 +ω 3 +ω 4 =1;

[0062] Comprehensively assess memory, attention, language ability and executive ability to calculate the dementia risk index, achieve comprehensive assessment of multiple cognitive areas, and more comprehensively understand the cognitive function status of the elderly. This will help doctors or assessors to more accurately determine whether the elderly have cognitive impairment and its severity, and can help to discover possible cognitive impairment in the elderly at an early stage, so as to intervene and treat it in time. This is of great significance for delaying the progression of the disease and improving the quality of life. At the same time, it can arouse the attention of families and society to the cognitive health of the elderly, so that family members can pay more attention to the daily behavior and emotional changes of the elderly, discover abnormal situations in time and seek professional help. The society can also strengthen the publicity and education of cognitive health of the elderly to improve public awareness and attention.

[0063] The intervention training unit includes a variety of intervention training programs, and determines whether an intervention training program is needed based on the dementia risk index;

[0064] The various intervention training programs include: cognitive training, music therapy, and somatosensory interactive games. When the calculated result of the dementia risk index is greater than the minimum threshold of the dementia risk index, it means that an intervention training program is needed;

[0065] The brain of a dementia patient will gradually shrink and function degenerate as the disease progresses. Cognitive training can activate the brain's nerve cells and promote neural plasticity. Continuous cognitive training can stimulate the brain to generate new neural connections and compensate for the damaged neuronal functions, thereby slowing down the rate of cognitive decline to a certain extent.

[0066] The user management module is used to manage user information and data, supports the entry, editing and query of user information, and can generate user reports to display the user's cognitive status and intervention effects.

[0067] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The dementia community early identification and intervention support system is characterized by: It includes a user management module and an identification intervention module, wherein the user management module is connected to the identification intervention module via a network, and the identification intervention module includes a data acquisition unit, a data analysis unit, and an intervention training unit, wherein the data acquisition unit is composed of data acquisition and cognitive function testing; The data collection is used to collect memory data, attention data, language ability data and executive ability data of the elderly. The data collection respectively forms the collected data into a memory data set, an attention data set, a language ability data set and an executive ability data set and sends them to the cognitive function test. The cognitive function test calculates the memory evaluation value, the attention evaluation value, the language ability evaluation value and the executive ability evaluation value according to the received data set. The data collection unit is connected to the data analysis unit through a network; The data analysis unit calculates the dementia risk index according to the memory assessment value, the attention assessment value, the language ability assessment value, and the executive ability assessment value, and sends the dementia risk index calculation result to the intervention training unit; The intervention training unit includes a plurality of intervention training programs, and determines whether an intervention training program is needed according to the dementia risk index.

2. The dementia community early identification and intervention support system according to claim 1, characterized in that: The memory data set is five memory data obtained by the elderly through five memory tests in one day, and is specifically expressed as: JYsj1, JYsj2, JYsj3, ···, JYsj5, wherein JYsj1 is the first memory data in the memory data set, and JYsj5 is the last memory data in the memory data set. The memory testing method is a scale assessment and a specific memory test, and the memory data is the total score of the scale assessment and the specific memory test.

3. The community early identification and intervention support system for dementia according to claim 2, characterized in that: The attention data set is 5 attention data obtained by the elderly through 5 attention tests in one day, and is specifically expressed as: ZYsj1, ZYsj2, ZYsj3, ···, ZYsj5, wherein ZYsj1 is the first attention data in the attention data set, and ZYsj5 is the last attention data in the attention data set. The attention test method is a scale assessment and a specific attention test, and the attention data is the total score of the scale assessment and the specific attention test.

4. The community early identification and intervention support system for dementia according to claim 3, characterized in that: The language ability data set is 5 language ability data obtained by the elderly after 5 language ability tests in one day, and the specific expression is: YYsj1, YYsj2, YYsj3,..., YYsj5, among which YYsj1 is the first language ability data in the language ability data set, and YYsj5 is the last language ability data in the language ability data set. The language ability testing method is scale assessment and specific language ability test, and the language ability data is the total score passed the scale assessment and specific language ability test.

5. The dementia community early identification and intervention support system according to claim 4, characterized in that: The execution ability data set is 5 execution ability data obtained by the elderly after 5 execution ability tests in one day, and the specific expression is: ZXsj1, ZXsj2, ZXsj3,..., ZXsj5, among which ZXsj1 is the first execution ability data in the execution ability data set, and ZXsj5 is the last execution ability data in the execution ability data set. The execution ability testing method is scale assessment and specific execution ability test, and the execution ability data is the total score passed the scale assessment and specific execution ability test.

6. The community early identification and intervention support system for dementia according to claim 5, characterized in that: The calculation formula of the memory evaluation value is: In the calculation formula, JYpg represents the calculation result of the memory evaluation value. represents the mean of the memory data set, α is the weight factor, JYsj b Represents standard memory data. The calculation formula of the attention evaluation value is: In the calculation formula, ZYpg represents the calculation result of the attention evaluation value. represents the mean of the attention data set, β is the weight factor, ZYsj b Represents standard attention data.

7. The dementia community early identification and intervention support system according to claim 6, characterized in that: The calculation formula of the language ability assessment value is: In the calculation formula, YYpg represents the calculation result of the language proficiency assessment value. represents the mean of the language proficiency data set, γ is the weight factor, YYsj b Represents standard language proficiency data. The calculation formula of the execution capability evaluation value is: In the calculation formula, ZXpg represents the calculation result of the execution capability evaluation value. represents the mean of the execution capability data set, δ is the weight factor, ZXsj b Represents standard performance data.

8. The community early identification and intervention support system for dementia according to claim 7, characterized in that: The calculation formula of the dementia risk index is: In the calculation formula, RZFx represents the calculation result of dementia risk index, JYpg c Represents the conventional memory assessment value, ZYpg c represents the conventional attention assessment value, YYpg c represents the general language ability assessment value, ZXpg represents the general execution ability assessment value, ω1, ω2, ω3, ω4 are all weights, and ω1+ω2+ω3+ω4=1.

9. The community early identification and intervention support system for dementia according to claim 8, characterized in that: The multiple intervention training programs specifically include: cognitive training, music therapy, and somatosensory interactive games. When the calculated result of the dementia risk index is greater than the minimum threshold of the dementia risk index, it means that an intervention training program is needed.

10. The community early identification and intervention support system for dementia according to claim 9, characterized in that: The user management module is used to manage user information and data, supports the entry, editing and query of user information, and can generate user reports to display the user's cognitive status and intervention effects.

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