Neurology monofilament skin threshold evaluation system based on artificial intelligence

Abstract

The invention discloses a neurology monofilament skin threshold evaluation system based on artificial intelligence, and particularly relates to the field of neurology. Comprising a test skin region division module, a sub-region data acquisition module, a sub-region data processing and analysis module, a sub-region touch threshold reasonability index calculation module, a target comprehensive touch threshold reasonability index calculation module, a threshold reasonability judgment module and a data interaction and transmission module. Through refined region division and real-time acquisition of various data, the state of the skin tactile function can be comprehensively and accurately monitored, and comprehensiveness and accuracy of evaluation are ensured; by integrating the tactile threshold data of each sub-region, the comprehensive tactile threshold reasonability value is obtained, and errors caused by human factors are reduced, so that the skin threshold can be accurately evaluated, and the safety of diagnosis and treatment of skin diseases is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of neurology, and more specifically, to an artificial intelligence-based monofilament skin threshold evaluation system for neurology. Background Art

[0002] With the increasing awareness of disease prevention and management, monofilament skin threshold assessment is not only used for clinical diagnosis, but is also gradually becoming an important tool for health monitoring and disease prevention.

[0003] At present, the monofilament skin threshold assessment technology mainly includes the following modules: Tactile sensitivity acquisition module: through monofilament probes and other tools, the sensitivity of the skin to pressure stimulation is accurately detected; it is an easy-to-operate non-invasive test with low energy consumption and high precision, which can meet the testing needs of different patients; data processing and analysis module: this module uses quantitative analysis methods to process the collected skin sensitivity data, understand the patient's neurological function status, and provide a scientific basis for diagnosis and treatment. It can also predict the development trend of the disease based on historical data, and help medical professionals adjust the treatment plan to achieve precise treatment; judgment module: based on the results of data analysis, it is not only suitable for the diagnosis of diabetic neuropathy, but also for other diseases that affect skin sensation, such as postherpetic neuralgia, multiple sclerosis, etc., which expands the application scope of the assessment technology; threshold control module: this module provides users with a friendly operation interface, allowing doctors and patients to easily view real-time data, treatment plans and disease management status of skin sensitivity, so that patients can participate in their own health management more conveniently.

[0004] However, it still has some shortcomings in actual use, such as:

[0005] First, environmental factors affect the test results: the bending ability of the monofilament is easily affected by the ambient temperature and humidity. Under different environmental conditions, the monofilament's response to pressure is inconsistent, which in turn affects the reliability of the evaluation results.

[0006] Second aspect: operating skills affect test accuracy: in actual operation, if the pressure is not applied evenly or the angle of contact between the monofilament and the skin changes, it will also affect the accuracy of the evaluation results;

[0007] The third aspect: the interpretation of results requires professional knowledge: the interpretation of the results of the single-filament test requires relevant professional knowledge and experience. For non-professionals, it is difficult to correctly interpret the test results, which limits the wide application of the test results. Summary of the invention

[0008] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a neurology monofilament skin threshold assessment system based on artificial intelligence to solve the problems raised in the above-mentioned background technology.

[0009] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a neurology monofilament skin threshold assessment system based on artificial intelligence, comprising:

[0010] Test skin area division module: used to record the skin area to be evaluated as the target skin test area, divide the target skin test area into multiple test sub-areas according to the preset skin structure and functional characteristics, and number each test sub-area in the target skin test area as 1, 2...n.

[0011] Sub-region data collection module: used to collect basic information of different monofilaments in the sub-region skin, wherein the basic information includes the sub-region monofilament performance fluctuation parameter value, the sub-region monofilament environment fluctuation parameter value and the preset sub-region tactile threshold rationality index value.

[0012] Sub-region data processing and analysis module: used to analyze and process the sub-region single-filament performance fluctuation parameter values ​​and sub-region single-filament environment fluctuation parameter values ​​collected in the sub-region data collection module; the sub-region data processing and analysis module includes a sub-region single-filament performance fluctuation coefficient calculation unit and a sub-region single-filament environment fluctuation coefficient calculation unit.

[0013] Sub-region tactile threshold rationality index calculation module: used to import the sub-region single fiber performance fluctuation coefficient value, the sub-region single fiber environmental state fluctuation coefficient value and the preset sub-region tactile threshold rationality index value into the sub-region tactile threshold rationality index mathematical model to obtain the target sub-region tactile threshold rationality index value.

[0014] Target comprehensive tactile threshold rationality index calculation module: used to input the tactile threshold data of each sub-area into the comprehensive tactile threshold rationality index mathematical model to obtain the target comprehensive tactile threshold rationality value.

[0015] Threshold rationality judgment module: used to compare the target comprehensive tactile threshold rationality value with the threshold data within the preset normal physiological range, calculate the difference between the actual target comprehensive tactile threshold rationality value and the preset threshold data, and generate an A signal when the difference value meets the preset reasonable difference range; generate a B signal when the difference value exceeds the preset reasonable difference range.

[0016] Data interaction and transmission module: used to receive the signal sent by the threshold rationality judgment module and generate a threshold information evaluation report based on the signal.

[0017] Preferably, the sub-region data acquisition module is used to collect data on different monofilament basic information of the sub-region skin, wherein the basic information includes the sub-region monofilament performance fluctuation parameter value, the sub-region monofilament environment fluctuation parameter value and the preset sub-region tactile threshold rationality index value.

[0018] Preferably, the sub-region single-filament performance fluctuation parameter values ​​include single-filament length, single-filament diameter and single-filament material hardness, respectively denoted as l, r, d; the sub-region single-filament environment fluctuation parameter values ​​include ambient temperature and ambient humidity, respectively denoted as T and H; the preset sub-region tactile threshold rationality index value is denoted as t 预 .

[0019] Preferably, the sub-region single fiber performance fluctuation coefficient calculation unit is used to import the sub-region single fiber performance fluctuation parameters into the sub-region single fiber performance fluctuation coefficient mathematical model to obtain the sub-region single fiber performance fluctuation coefficient value; the sub-region single fiber environment fluctuation coefficient calculation unit is used to import the sub-region single fiber environment fluctuation parameters into the sub-region single fiber environment fluctuation coefficient mathematical model to obtain the sub-region single fiber environment fluctuation coefficient value.

[0020] Preferably, the mathematical model of the sub-region single fiber performance fluctuation coefficient is specifically expressed as: Among them, α i represents the fluctuation coefficient of the single-filament performance in the ith sub-region, η1 represents the influence factor of the single-filament length, l i represents the length of the single filament in the i-th sub-region, η2 represents the diameter influence factor, r i represents the diameter of the single wire in the i-th sub-region, η3 represents the influence factor of material hardness, and d i represents the single-filament hardness of the ith sub-region.

[0021] Preferably, the mathematical model of the sub-region single-filament environment fluctuation coefficient is specifically: Among them, β i represents the environmental fluctuation coefficient of the single fiber in the ith sub-region, T i represents the ambient temperature of the ith sub-area, H i represents the ambient humidity of the ith sub-area, and δ represents the environmental impact factor.

[0022] Preferably, the mathematical model of the sub-region tactile threshold rationality index is: ε i is the rationality index of the tactile threshold of the i-th sub-region, t 实 is the actual measured value of the touch threshold of the sub-area.

[0023] Preferably, the target comprehensive tactile threshold rationality value is specifically: The target comprehensive tactile threshold rationality value is specifically: Where σ is the reasonableness value of the target comprehensive tactile threshold.

[0024] Preferably, the threshold data within the preset normal physiological range is a mean value obtained based on statistical data of a large number of healthy people, and extreme values ​​are removed in the process of determining the mean value. These extreme values ​​may be caused by individual differences or abnormal physiological conditions and are not representative; the preset reasonable difference range is a safety interval determined based on medical research and clinical practice, which aims to ensure that the neurological function assessment received by patients is both accurate and safe; the A signal is that the reasonableness value of the target comprehensive tactile threshold is within the normal range, and a corresponding report is output; the B signal is that the reasonableness value of the target comprehensive tactile threshold is not within the normal range, and a corresponding report is output and an alarm is triggered.

[0025] Technical effects and advantages of the present invention:

[0026] 1. The present invention records the skin to be evaluated as the target skin test area through the skin area division module, and divides the target skin test area into multiple sub-areas, so as to achieve refined detection of the target skin test area, so that the system can more accurately analyze the state of the skin in different areas, and provide more accurate data support for subsequent skin threshold evaluation;

[0027] 2. The present invention collects the basic information of the monofilament of the sub-region test skin through the sub-region data acquisition module, including the monofilament performance fluctuation parameter, the monofilament environment fluctuation parameter and the preset tactile threshold rationality index. These basic information are key data for evaluating the tactile function of the sub-region skin. By collecting this information, the system can fully grasp the tactile state of the skin and provide data support for subsequent data processing and skin threshold function evaluation;

[0028] 3. The present invention imports the collected sub-region single-filament performance fluctuation parameters and single-filament environment fluctuation parameters into the analysis model through the sub-region data processing and analysis module, and obtains the sub-region single-filament performance fluctuation coefficient value and the sub-region single-filament environment fluctuation coefficient value by calculation. These coefficients can intuitively reflect the changes in the tactile function of the skin in different sub-regions, and provide an important reference basis for tactile function evaluation;

[0029] 4. The present invention imports the sub-region single fiber performance fluctuation coefficient value, the sub-region single fiber environmental state fluctuation coefficient value and the preset sub-region touch threshold reasonableness index value into the sub-region touch threshold reasonableness index mathematical model through the sub-region touch threshold reasonableness index calculation module, and calculates the target sub-region touch threshold reasonableness index value. This index can quantitatively evaluate the tactile function state of the skin and provide a scientific basis for diagnosis and treatment;

[0030] 5. The present invention inputs the touch threshold data of each sub-area into the comprehensive touch threshold rationality index mathematical model through the target comprehensive touch threshold rationality index calculation module to calculate the target comprehensive touch threshold rationality value, which comprehensively reflects the tactile function status of the entire target skin area and provides an important basis for overall evaluation and decision-making;

[0031] 6. The present invention compares the reasonableness value of the target comprehensive tactile threshold with the threshold data within the preset normal physiological range through the threshold reasonableness judgment module, calculates the difference between the reasonableness value of the actual target comprehensive tactile threshold and the preset threshold data, and generates an A signal when the difference is within the preset reasonable difference range, indicating that the skin tactile function is normal; when the difference exceeds the preset reasonable difference range, generates a B signal, indicating that the skin tactile function is abnormal and further diagnosis and treatment are required;

[0032] 7. The present invention receives the signal sent by the threshold rationality judgment module through the data interaction transmission module, and generates a tactile function evaluation report according to the signal. This report provides doctors and patients with intuitive and accurate skin tactile function evaluation results, which helps to guide subsequent diagnosis and treatment plans;

[0033] 8. The present invention realizes a comprehensive and accurate evaluation of the skin's tactile function through refined skin area division, data collection, data processing and analysis, tactile threshold rationality index calculation and threshold rationality judgment. This system can timely detect abnormal changes in the skin's tactile function and provide strong technical support for the diagnosis and treatment of skin diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the overall structure 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] As attached Figure 1The illustrated system is a neurology monofilament skin threshold assessment system based on artificial intelligence, comprising a test skin area division module, a sub-area data acquisition module, a sub-area data processing and analysis module, a sub-area tactile threshold rationality index calculation module, a target comprehensive tactile threshold rationality index calculation module, a threshold rationality judgment module, and a data interaction transmission module; the sub-area data processing and analysis module comprises a sub-area monofilament performance fluctuation coefficient calculation unit and a sub-area monofilament environment fluctuation coefficient calculation unit.

[0037] The test skin area division module is used to record the skin area to be evaluated as the target skin test area, divide the target skin test area into multiple test sub-areas according to preset skin structure and functional characteristics, and number each test sub-area in the target skin test area as 1, 2...n in sequence.

[0038] In this embodiment, it is specifically necessary to explain that the tester's hands, back or any other parts of the body are used, wherein the test area can be any non-traumatic skin, and therefore this embodiment does not make any specific limitation.

[0039] The sub-region data collection module is used to collect data on different monofilament basic information of the sub-region skin, wherein the basic information includes the sub-region monofilament performance fluctuation parameter value, the sub-region monofilament environment fluctuation parameter value and the preset sub-region tactile threshold rationality index value.

[0040] In this embodiment, it is specifically necessary to explain that the sub-region single-filament performance fluctuation parameter value includes the single-filament length, the single-filament diameter and the single-filament material hardness, which are respectively denoted as l, r and d; the sub-region single-filament environment fluctuation parameter value includes the ambient temperature and the ambient humidity, which are respectively denoted as T and H; the preset sub-region touch threshold rationality index value is denoted as t 预 .

[0041] The sub-region data processing and analysis module is used to analyze and process the sub-region single-filament performance fluctuation parameter values ​​and the sub-region single-filament environment fluctuation parameter values ​​collected in the sub-region data collection module; the sub-region data processing and analysis module includes a sub-region single-filament performance fluctuation coefficient calculation unit and a sub-region single-filament environment fluctuation coefficient calculation unit.

[0042] The sub-region single-filament performance fluctuation coefficient calculation unit is used to import the sub-region single-filament performance fluctuation parameters into the sub-region single-filament performance fluctuation coefficient mathematical model to obtain the sub-region single-filament performance fluctuation coefficient value; the sub-region single-filament environment fluctuation coefficient calculation unit is used to import the sub-region single-filament environment fluctuation parameters into the sub-region single-filament environment fluctuation coefficient mathematical model to obtain the sub-region single-filament environment fluctuation coefficient value.

[0043] In this embodiment, it should be specifically noted that the mathematical model of the sub-region single fiber performance fluctuation coefficient is specifically expressed as: Among them, α i represents the fluctuation coefficient of the single-filament performance in the ith sub-region, η1 represents the influence factor of the single-filament length, l i represents the length of the single filament in the i-th sub-region, η2 represents the diameter influence factor, r i represents the diameter of the single wire in the i-th sub-region, η3 represents the influence factor of material hardness, and d i represents the single-filament hardness of the ith sub-region.

[0044] In this embodiment, it should be specifically explained that the mathematical model of the single-filament environment fluctuation coefficient in the sub-region is specifically: Among them, β i represents the environmental fluctuation coefficient of the single fiber in the ith sub-region, T i represents the ambient temperature of the ith sub-area, H i represents the ambient humidity of the ith sub-area, and δ represents the environmental impact factor.

[0045] The sub-region tactile threshold rationality index calculation module is used to import the sub-region single fiber performance fluctuation coefficient value, the sub-region single fiber environmental state fluctuation coefficient value and the preset sub-region tactile threshold rationality index value into the sub-region tactile threshold rationality index mathematical model to obtain the target sub-region tactile threshold rationality index value.

[0046] In this embodiment, it should be specifically explained that the mathematical model of the rationality index of the sub-region touch threshold is: ε i is the rationality index of the tactile threshold of the i-th sub-region, t 实 is the actual measured value of the touch threshold of the sub-area.

[0047] The target comprehensive tactile threshold rationality index calculation module is used to input the tactile threshold data of each sub-area into the comprehensive tactile threshold rationality index mathematical model to obtain the target comprehensive tactile threshold rationality value.

[0048] In this embodiment, it should be specifically noted that the target comprehensive tactile threshold rationality value is specifically: The target comprehensive tactile threshold rationality value is specifically: Where σ is the reasonableness value of the target comprehensive tactile threshold.

[0049] The threshold rationality judgment module is used to compare the target comprehensive tactile threshold rationality value with the threshold data within the preset normal physiological range, calculate the difference between the actual target comprehensive tactile threshold rationality value and the preset threshold data, and generate an A signal when the difference value meets the preset reasonable difference range; when the difference value exceeds the preset reasonable difference range, generate a B signal.

[0050] In this embodiment, it should be specifically noted that the threshold data within the preset normal physiological range is a mean value obtained based on statistical data of a large number of healthy people, and extreme values ​​are removed in the process of determining the mean value. These extreme values ​​may be caused by individual differences or abnormal physiological conditions and are not representative; the preset reasonable difference range is a safety interval determined based on medical research and clinical practice, which aims to ensure that the neurological function assessment received by patients is both accurate and safe; the A signal is that the reasonableness value of the target comprehensive tactile threshold is within the normal range, and a corresponding report is output; the B signal is that the reasonableness value of the target comprehensive tactile threshold is not within the normal range, and a corresponding report is output and an alarm is triggered.

[0051] The data interaction transmission module is used to receive the signal sent by the threshold rationality judgment module and generate a threshold information evaluation report according to the signal.

[0052] The present invention records the skin to be evaluated as the target skin test area through the skin area division module, and divides the target skin test area into multiple sub-areas, so as to realize the refined detection of the target skin test area, so that the system can more accurately analyze the state of the skin in different areas, and provide more accurate data support for the subsequent skin threshold evaluation; the monofilament basic information of the sub-area test skin is collected through the sub-area data acquisition module, including the monofilament performance fluctuation parameter, the monofilament environment fluctuation parameter and the preset tactile threshold rationality index, which are the key data for evaluating the tactile function of the skin in the sub-area. By collecting this information, the system can fully grasp the tactile state of the skin, which is used for subsequent data processing and skin threshold function. It can provide data support for evaluation; the collected sub-region single fiber performance fluctuation parameters and single fiber environment fluctuation parameters are imported into the analysis model through the sub-region data processing and analysis module, and the sub-region single fiber performance fluctuation coefficient value and the sub-region single fiber environment fluctuation coefficient value are obtained by calculation. These coefficients can intuitively reflect the changes in the tactile function of the skin in different sub-regions, and provide an important reference basis for tactile function evaluation; the sub-region tactile threshold rationality index calculation module imports the sub-region single fiber performance fluctuation coefficient value, the sub-region single fiber environment state fluctuation coefficient value and the preset sub-region tactile threshold rationality index value into the sub-region tactile threshold rationality index mathematical model, and calculates the target sub-region tactile threshold rationality index value. This index can Quantitatively evaluate the tactile function status of the skin to provide a scientific basis for diagnosis and treatment; input the tactile threshold data of each sub-area into the comprehensive tactile threshold rationality index mathematical model through the target comprehensive tactile threshold rationality index calculation module, and calculate the target comprehensive tactile threshold rationality value, which comprehensively reflects the tactile function status of the entire target skin area, and provides an important basis for overall evaluation and decision-making; the threshold rationality judgment module compares the target comprehensive tactile threshold rationality value with the threshold data within the preset normal physiological range, and calculates the difference between the actual target comprehensive tactile threshold rationality value and the preset threshold data. When the difference is within the preset reasonable difference range, an A signal is generated to indicate the skin tactile function Normal; when the difference value exceeds the preset reasonable difference range, a B signal is generated, indicating that the skin tactile function is abnormal and requires further diagnosis and treatment; the data interaction transmission module receives the signal sent by the threshold rationality judgment module, and generates a tactile function evaluation report based on the signal. This report provides doctors and patients with intuitive and accurate skin tactile function evaluation results, which helps to guide subsequent diagnosis and treatment plans; refined skin area division, data collection, data processing and analysis, tactile threshold rationality index calculation and threshold rationality judgment have achieved a comprehensive and accurate evaluation of the skin's tactile function. This system can promptly detect abnormal changes in the skin's tactile function and provide strong technical support for the diagnosis and treatment of skin diseases.

[0053] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0054] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An artificial intelligence-based monofilament skin threshold assessment system for neurology, comprising: Test skin area division module: used to record the skin area to be evaluated as the target skin test area, divide the target skin test area into multiple test sub-areas according to the preset skin structure and functional characteristics, and number each test sub-area in the target skin test area as 1, 2...n. Sub-region data collection module: used to collect basic information of different monofilaments in the sub-region skin, wherein the basic information includes the sub-region monofilament performance fluctuation parameter value, the sub-region monofilament environment fluctuation parameter value and the preset sub-region tactile threshold rationality index value. Sub-region data processing and analysis module: used to analyze and process the sub-region single-filament performance fluctuation parameter values ​​and sub-region single-filament environment fluctuation parameter values ​​collected in the sub-region data collection module; the sub-region data processing and analysis module includes a sub-region single-filament performance fluctuation coefficient calculation unit and a sub-region single-filament environment fluctuation coefficient calculation unit. Sub-region tactile threshold rationality index calculation module: used to import the sub-region single fiber performance fluctuation coefficient value, the sub-region single fiber environmental state fluctuation coefficient value and the preset sub-region tactile threshold rationality index value into the sub-region tactile threshold rationality index mathematical model to obtain the target sub-region tactile threshold rationality index value. Target comprehensive tactile threshold rationality index calculation module: used to input the tactile threshold data of each sub-area into the comprehensive tactile threshold rationality index mathematical model to obtain the target comprehensive tactile threshold rationality value. Threshold rationality judgment module: used to compare the target comprehensive tactile threshold rationality value with the threshold data within the preset normal physiological range, calculate the difference between the actual target comprehensive tactile threshold rationality value and the preset threshold data, and generate an A signal when the difference value meets the preset reasonable difference range; generate a B signal when the difference value exceeds the preset reasonable difference range. Data interaction and transmission module: used to receive the signal sent by the threshold rationality judgment module and generate a threshold information evaluation report based on the signal.

2. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1 is characterized by: The sub-region single-filament performance fluctuation parameter values ​​include single-filament length, single-filament diameter and single-filament material hardness, which are respectively denoted as l, r and d; the sub-region single-filament environment fluctuation parameter values ​​include ambient temperature and ambient humidity, which are respectively denoted as T and H; the preset sub-region touch threshold rationality index value is denoted as t 预 .

3. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1 is characterized by: The sub-region single-filament performance fluctuation coefficient calculation unit is used to import the sub-region single-filament performance fluctuation parameters into the sub-region single-filament performance fluctuation coefficient mathematical model to obtain the sub-region single-filament performance fluctuation coefficient value; the sub-region single-filament environment fluctuation coefficient calculation unit is used to import the sub-region single-filament environment fluctuation parameters into the sub-region single-filament environment fluctuation coefficient mathematical model to obtain the sub-region single-filament environment fluctuation coefficient value.

4. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1, characterized in that: The mathematical model of the sub-region single fiber performance fluctuation coefficient is specifically expressed as: Among them, α i represents the fluctuation coefficient of the single-filament performance in the ith sub-region, η1 represents the influence factor of the single-filament length, l i represents the length of the single filament in the i-th sub-region, η2 represents the diameter influence factor, r i represents the diameter of the single wire in the i-th sub-region, η3 represents the influence factor of material hardness, and d i represents the single-filament hardness of the ith sub-region.

5. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1, characterized in that: The mathematical model of the sub-region single-filament environment fluctuation coefficient is specifically: Among them, β i represents the environmental fluctuation coefficient of the single fiber in the ith sub-region, T i represents the ambient temperature of the ith sub-area, H i represents the ambient humidity of the ith sub-area, and δ represents the environmental impact factor.

6. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1, characterized in that: The mathematical model of the sub-region touch threshold rationality index is: ε i is the rationality index of the tactile threshold of the i-th sub-region, t 实 is the actual measured value of the sub-area touch threshold.

7. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1, characterized in that: The target comprehensive tactile threshold rationality value is specifically: The target comprehensive tactile threshold rationality value is specifically: Where σ is the reasonableness value of the target comprehensive tactile threshold.

8. The artificial intelligence-based neurology monofilament skin threshold assessment system according to claim 1, characterized in that: The threshold data within the preset normal physiological range is a mean value obtained based on statistical data of a large number of healthy people. Extreme values ​​are removed in the process of determining the mean value. These extreme values ​​may be caused by individual differences or abnormal physiological conditions and are not representative. The preset reasonable difference range is a safety interval determined based on medical research and clinical practice, which aims to ensure that the neurological function assessment received by patients is both accurate and safe. The A signal is that the reasonableness value of the target comprehensive tactile threshold is within the normal range, and a corresponding report is output; the B signal is that the reasonableness value of the target comprehensive tactile threshold is not within the normal range, and a corresponding report is output and a trigger warning is triggered.

Images